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Saturday, 30 August 2014

The Dresden International PhD Program- Computational Biology (CompBio Track)

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About

The Dresden International PhD Program (DIPP) offers great opportunities for outstanding and enthusiastic graduates who wish to work towards a PhD in a highly interactive, interdisciplinary and international scientific community. The DIPP combines two powerful partners dedicated to first-class doctoral training at the frontier of science – theInternational Max Planck Research School for Cell, Developmental and Systems Biology (IMPRS-CellDevoSys)implemented by the Max Planck Society in 2001, and the Dresden International Graduate School for Biomedicine and Bioengineering (DIGS-BB) awarded to the TU Dresden in the Excellence Initiative in 2006.

Our research-oriented program focuses on challenging research towards a PhD degree at the frontier of science in the tracks


  • Our expertise spans from biology, physics, computational science to translational research in biomedicine, bioengineering and nanotechnologies. PhD students are invited to profit from the inspiring and vibrant network formed by the closely interacting research groups, institutes and facilities. Expert thesis supervision by a Thesis Advisory Committee, ambitious training and exceptional student-driven activities are further hallmarks of the DIPP.
Applications are invited twice a year, the admission is highly competitive. PhD students typically graduate after 3.5 to 4 years at the Technische Universität Dresden, well prepared for future career steps.

Computational Biology

From Cells to Biology in Cyberspace – The CompBio Track

The CompBio Track does research in theoretical and computational disciplines, like computer science, applied mathematics, computational engineering, and computational physics. Thanks to the close integration with the leading-edge biology and physics of the other tracks, this serves a double purpose: On the one hand, we advance computing and theory as inspired by the challenging systems and data of biology. On the other hand, we apply computational methods to help advance biology. This includes both the computational analysis of biological data (microscopy images, genome sequences, lineage trees, etc.) and computer simulations of biological systems and processes (computational biology).
  • Biological systems challenge the available computational methods, and the necessary foundations in computer science and mathematics are often missing. The CompBio Track hence performs fundamental research in computational and theoretical areas in order to develop the methodological foundations for future biology in tight integration with the experimental approaches of the other tracks.
  • Over the past decade, biological questions have become one of the major drivers of progress in computational science. At the same time, computational models and simulations are at the very heart of modern biology, enabling predictions of complex system behavior. Much research and progress in computer science and applied mathematics is however still required in order to cope with the intricacies and complexity of biological systems. The CompBio track drives these developments in an exciting, truly interdisciplinary program, and in tight integration with the biological applications.

Research Fields

  • Scientific Computing
  • Applied Mathematics
  • Computational Biology
  • Computational Genomics
  • Computer Vision/Image Processing
  • Bioinformatics
  • Parallel and High-Performance Computing
  • Software Engineering

Research Groups


Admission Procedure

Application

  • Request an account for accessing our online application and make sure to use an email address that is valid throughout the application process. Follow the instructions given in the online application form. Briefly, the application consists of two parts:

1st Part: Registration

  • Registration requires personal information and contact details of two referees whom we will invite to complete an online recommendation form. We expect that your referees are well in position to judge your research performance, and strongly recommend that you name your thesis supervisor as referee.
  • Before submitting your referees’ details, make sure that they are willing and available to provide their recommendation within the given deadline. We encourage to register early to grant your referees sufficient time for submitting their recommendation. Information submitted with the registration cannot be changed, however, additional referees can be added up to the registration deadline.
  • We acknowledge successful registration and receipt of each online recommendation via email. Please contact your referees directly for clarification if you don’t receive our confirmation in good time.

2nd Part: Application

  • Following registration you will be granted immediate access to the application form. Make sure that you provide complete information and up-loads of required documents (University certificates and transcripts of marks/record of study), GRE examination and TOEFL/IELTS results if available.
  • After completion of the online application form, you will be able to generate a pdf file of your application. Please use this function to ensure the legibility of uploaded documents. Save a copy of your application for your reference before submitting the application.
  • You will be able to submit your application once we received two online recommendations until the application deadline. Successful submission of your application will be confirmed by email.

Evaluation of applications

  • Eligible applications will proceed to evaluation. The first evaluation takes into account the applicants’ national education system, and is carried out by internal experts of the respective educational system. Qualified applications are recommended to DIPP faculty members for further assessment. They jointly short-list the candidates to be invited for the interview week in Dresden. Invitations are sent approximately 4 weeks before the interview week.

The interview week in Dresden

  • The Monday of the interview week is reserved for arrival, a welcome by the program officials, followed by group leaders’ presentations and an applicants’ poster session. On Tuesday, each candidate conducts a 30 minutes interview with the Admission Committees. These interviews cover general knowledge questions according to the applicant’s scientific discipline and a paper discussion. Proficiency in standard textbook knowledge is expected. Candidates who pass the Admission Committees are in general eligible to be admitted to the DIPP. Wednesday and Thursday are reserved for interviews with group leaders, lab visits and informal discussions with lab members. Concluding interviews with the Deans and the Admission Committee members are scheduled for Friday morning. Full details of the interview week will be sent to invited candidates only.

Offers of admission

  • Offers of admission to the Dresden International PhD Program are made by the end of the interview week. Admission is granted by the Deans based on the results of the Admission Committee and the group leader interviews. In general, offers include the affiliation to a scientific track and to a defined research group.

Starting your PhD thesis work

  • The individual starting date will be agreed on with the primary supervisor. For the spring selection, the latest starting date is October 1st of the year of admission. For the fall selection, the latest starting date is March 1st of the year following the year of admission.

If you have any questions, please contact @

Read more

http://www.dresden-ipp.de/research

2014 Sir Ernst Chain Lecture by Professor Michael Levitt-Modelling the Molecules of Life

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Michael Levitt, together with Martin Karplus and Arieh Warshel, received the 2013 Nobel Prize in Chemistry for "The development of multiscale models for complex chemical systems". Michael Levitt is a Fellow of the Royal Society and a Member of the National Academy of Sciences. He undertook his PhD in Cambridge and then worked at the Weizmann Institute where he collaborated with Arieh Warshel. Currently he is a professor of structural biology at Stanford University. Professor Levitt's lecture will describe the origins computational structural biology and then go on to show some of the most exciting current and future applications that range from simulation of atomic protein motion, to protein folding and explanation of enzyme catalysis.

Michael Levitt explains his work to young students

Information and Registration form

The

are honoured to invite you to join us for a Lecture by

Professor Michael Levitt
Stanford University and 2013 Nobel Laureate for Chemistry
Modelling the Molecules of Life
Thursday 13 Nov at 6pm
G16 - Sir Alexander Fleming Building
Imperial College London
South Kensington Campus

Attendance is free but REGISTRATION IS REQUIRED (form below) as we expect to be over subscribed.

For administrative enquiries please contact
Ms Sandrine Nurboja s.nurboja@imperial.ac.uk
For academic enquiries please contact
Professor Michael JE Sternberg m.sternberg@imperial.ac.uk

Read more/Registration

Bioinformatics in Argentina to fight neglected diseases

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Source:

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Fernán Agüero was immensely excited when he entered the field of bioinformatics. With a background in molecular biology and parasitology, he helped local groups to sequence small fragments of DNA to discover new parasite genes. So exciting was the work, it led to a lifelong commitment to bioinformatics.
  • DNA analysis applied to parasitology was routinely used at home in Argentina, but not at the scale required to tackle complete genomes. Agüero had already specialised in parasite biology, even applying to study Trypanosoma cruzi (T. cruzi), the Chagas causing parasite, as an undergraduate biology student in Buenos Aires in the late nineties. His superiors soon realized he was primarily interested in bioinformatics but there were almost no research groups in this field in Argentina at the time.
"It's very easy to get into contact with parasitology in Argentina," he explains. "But bioinformatics was just starting to be mentioned. I was always working with computers so bioinformatics was kind of natural. I really liked it." A bioinformatics course at the University of Uppsala in Sweden enabled Agüero to combine two passions; dabbling in computers and parasite biogenetics.

TDR targets parasite genomes

  • When TDR issued a call for proposals for an international project incorporating genetic information of pathogens seen primarily in the developing world, Agüero wanted to get involved. As the human genome project progressed, researchers had begun to sequence the DNA of parasites, many funded by TDR. And, to make the most of this rich new resource, TDR decided to combine all sorts of vital pathogen information into a single database called TDRtargets.org, providing genomic data on pathogens, their expression and protein structures, chemical properties and drug information gleaned from published papers.
“TDR funding came at a time in my career when I was trying to establish a bioinformatics unit in the institute and to start recruiting students. And when you are young it is difficult to get funding.”
Férnan Agüero
  • The idea was to help stimulate drug development for neglected diseases, says Professor Wesley C. Van Voorhis of the Centre for Emerging and Re-emerging Infectious Diseases (CERID) at the University of Washington and one of the team of experts gathered from all over the world to create the database. Agüero was charged with designing TDRtargets.org so users can easily interrogate it via the internet.
“Agüero is a leader and innovator in the field of bioinformatics in supporting target-based drug development,” says Van Voorhis. "He has written the code that runs the site, trained students and postdocs to run and curate the website, effectively reached out to users in the developing world, run workshops, and proven the usefulness of curating drug target information from the genomes of infectious diseases predominately found in the developing world. Without him, the site simply wouldn’t work at all!"
  • The experience was invaluable for Agüero. "It meant a lot to me because it was like five years with constant exposure to five mentors, not just one," he says. The database is still housed at his university in San Martín, on the outskirts of Buenos Aires where research groups from all over the world have accessed it. Agüero has used the database to pinpoint interesting targets within T. cruzi, and is testing them in mice.

Spreading the word on bioinformatics

  • Today Agüero, Assistant Professor of Bioinformatics and Computational Biology at the Instituto de Investigaciones Biotecnológicas at Universidad de San Martín, has helped create a sizeable community of bioinformatics experts in Argentina. He teaches bioinformatics to around 30 doctoral and postdoctoral students every year, based on a course he created in 2003.
  • Expertise in teaching came through TDR, which held an intensive month-long, train-the-trainers’ course in Rio de Janeiro, Brazil back in 2001. "That course was very important to foster development of expertise in the region. When we got back to our countries we could start to establish bio-informatics courses," says Agüero, who helped found Argentina’s only society for computational biology and bioinformatics (A2B2C).
“I think that supporting young researchers like Agüero has an amplifying effect and has undoubtedly paid off in terms of research capacity in developing countries, as well as in obtaining tools for disease control.”
Dr Alberto Carlos Frasch, Dean, Universidad de San Martín
  • He views the TDR funding as crucial in furthering bioinformatics in Argentina. "It came at a time in my career when I was trying to establish bioinformatics in the institute and to start getting students. And when you are young it is difficult to get funding," he says.
  • Dr Alberto Carlos Frasch, a senior member of Argentina's National Research Council and dean at Universidad de San Martín, agrees. “Here is an excellent example of the importance of international organizations like TDR supporting young researchers to allow their development into mature scientists in the area of neglected diseases,” he says. “I think that supporting young researchers like Agüero has an amplifying effect and has undoubtedly paid off in terms of research capacity in developing countries, as well as in obtaining tools for disease control.”
  • Today Agüero is hoping bioinformatics can improve one particular tool – diagnostic tests – by analysing bio-markers that might be more reliable than those detected in traditional tests. Today’s Chagas tests cannot tell if a drug has actually worked, for instance. Among the group of so-called neglected diseases, the need for bioinformatics is stronger than ever, since current screening technologies for new diagnostic markers generate large datasets. New biomarkers can be useful not only for individual diagnoses, but also for monitoring clinical trials, assessing the disease prevalence and emerging outbreaks.

For more information, please contact

Jamie Guth
TDR Communications Manager
Telephone: +41 79 441 2289
E-mail:guthj@who.int

Read more

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Graduate Certificate in Applied Bioinformatics

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Why a Certificate in Applied Bioinformatics at Penn State?

The online Graduate Certificate in Applied Bioinformatics is designed to provide you with an in-depth understanding of computational and statistical concepts that can be applied to genomic data, enabling you to make informed decisions about cellular behavior and activity.
If you are a professional wishing to advance your career—or if you want to make a career change—this certificate allows you to complete your study assignments at your own pace through the convenience of online courses.

Who Should Apply?

  • If you are an aspiring or current professional who needs to add bioinformatics to your current responsibilities, Penn State's Graduate Certificate in Applied Bioinformatics is designed for you. You may also find this program beneficial if you are working in a field such as molecular and cellular biology, genetics, biomedical engineering, medical science, scientific programming, or software development.
To apply to the program, you must have a baccalaureate degree from an accredited institution. A background in biology, computer science, or statistics is highly encouraged.

Career Opportunities for Graduates

With the applied bioinformatics graduate certificate, you can use your acquired knowledge and skills as a:

Read more/Apply

http://www.worldcampus.psu.edu

COMBINE AUSTRALIA-WIDE WIKIPEDIA EDIT-A-THON

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WHAT?

These informal events will bring together students, researchers and mentors to edit articles on Wikipedia related to Bioinformatics, Computational Biology and related fields.
As with our event last year, the audience is both:
- Students participating in the ISCB Wikipedia competition - Researchers interested in editing Wikipedia articles in their field
  • Besides being a great chance to hone your skills in science communication, it is also a great opportunity to interact with other researchers and students.
  • This is your chance to find get in touch with other bioinformaticians and computational biologists both in your city/institute and across Australia.

Youth Day Wikipedia Edit-a-thon:

WHEN?

  • Edit-a-thons around Australia are being held on Tuesday 9th Septemberbetween 4pm and 7pm AEST. Check your local venue below for exact times.

WHERE?

University of Melbourne

4.30pm – 6:30pm
G08 (Kimpton Room)
Melbourne School of Land and Environment

University of Queensland

4pm – 6pm.
Multimedia room (Level 3)
Institute for Molecular Bioscience, Brisbane

CSIRO, North Ryde NSW

4.30pm – 6:30 pm
Ground Floor Conference Room
Building 53, 11 Julius Avenue, North Ryde NSW 2113 (Corner of Delhi Rd and Julius Ave West)

University of Adelaide

4pm – 6pm.
Room 4.21
Santos Petroleum Engineering Building,

University of Sydney

5pm – 7pm
Level 6 Seminar Room,
Charles Perkins Centre

Online – participate remotely

If you can’t attend in person, join in online via the wikipedia meetup page on the day: https://en.wikipedia.org/wiki/Wikipedia:Meetup/Australia/COMBINE_edit-a-thon_2014
Still register, so we can include you the excitement on the day!

Read more/Wikipedia edit-a-thon – Registration:

http://combine.org.au/2014

Postdoctoral Positions in Bioinformatics and Computational Biology

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UConn Health is engaged in a major expansion of its research programs in computational biology, bioinformatics, and systems biology, as part of several transformative state initiatives. The Bioscience Connecticut initiative, totaling approximately $1 billion, includes the establishment of the new Center for Quantitative Medicine in 2013.
  • The Center for Quantitative Medicine is recruiting several postdoctoral fellows to pursue research in bioinformatics and computational systems biology with a particular focus on algorithm development and computational modeling of cellular processes, as well as applications of quantitative methods to biomedicine. Positions are available in the Laubenbacher, Mendes, and Vera-Licona research groups.
  • The Laubenbacher group has ongoing projects in the development and implementation of algorithms related to modeling and simulation, with applications to cancer and infectious diseases related to iron metabolism. A particular focus is on immunological aspects of these and other diseases. Vera-Licona works on algorithm and software development for the modeling and simulation of biological systems.
  • She is looking for a postdoc to work on the development of computational tools for identification of cascading failures and in silico combination therapies in complex biological networks. Mendes studies computational methods in systems biology, including development of simulation software, and is seeking a postdoctoral researcher to work on creating models of iron biochemistry, which is associated with several diseases such as cardiovascular, cancer, neurodegenerative, and many others. There are many collaborative activities between the three research groups.
  • The successful candidates will be expected to pursue research in the areas described above, with activities including interacting with experimental collaborators, setting up models, data analysis workflows, and other computational procedures, writing up and publishing results in peer-reviewed journals, presenting results at conferences and helping with developing new projects. The successful candidates will be individuals with background in mathematics, computer science, or physics with some knowledge of biology, or biologists with experience in developing computational/mathematical models. All of these positions will be pursuing interdisciplinary work at the boundaries of these disciplines.

How to apply

To apply, please send your CV, a brief statement of research interests, and contact information for three references to Kathy Black atkblack@uchc.edu.

Read more

http://cqm.uchc.edu

ISCB Africa ASBCB Conference on Bioinformatics (ISCB-Africa 2015)

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ISCB-Africa ASBCB Bioinformatics Conference welcomes original research submissions for papers and posters.
Papers and posters are intended to convey a scientific result that is original work, and are not advertisements for commercial software packages. Papers and posters may cover any area of computational biology, but preferably within one of the topic areas listed below:
  1. Host/pathogen systems biology
  2. Bioinformatics of human genetics
  3. Molecular epidemiology and evolution
  4. Functional, structural and comparative genomics
  5. Database and resource development
  6. Search and design of vaccines and drugs

Original Research Submission Guidelines

  • All abstracts must be a maximum of 250 words (to appear in the conference booklet) and should provide at the least the following information within them: background information, approach/methods, results and conclusions (actual headings within the abstract are not necessary). For paper submissions, authors are required to submit an additional paragraph of up to 250 words stating the relevance of the work for the purpose of convincing reviewers of the scientific content/validity; these additional 250 words will not be published and are for reviewing purposes only.
Original Paper Submissions for Oral Presentation Deadline is 31 October 2014.
Poster Submission Deadline is 6 December 2014.
All notifications will be received in January 2015.
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Read more

http://www.iscb.org

Master of Science in Computational Biology and Quantitative Genetics @ Harvard School of Public Health.

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Master of Science in Computational Biology and Quantitative Genetics

Prepare yourself for a career as a bioinformatics analyst or bioinformatics engineer in universities and hospitals, research organizations, and the pharmaceutical and biotechnology industries.
The Master of Science in Computational Biology and Quantitative Genetics provides students with the rigorous quantitative training and essential skills needed to successfully meet the challenges presented by large-scale public health data — “Big Data” — in biomedical research.

John Quackenbush Discusses Harvard's New Master's Program:

This new 80-credit program, offered jointly by the Departments of Biostatistics and Epidemiology, is designed to provide students with:

  • The biological background needed to understand and interpret data
  • A bioinformatics background providing familiarity with essential tools and data resources
  • Computational skills used to for analyze and manage “Big Data”
  • Statistical skills required to appropriately analyze large quantitative datasets
  • Epidemiological skills necessary for the design, conduct, and analysis of experiments

The SM in Computational Biology and Quantitative Genetics is intended as a terminal professional degree which will enable you to launch your career in bioinformatics. It can also provide the foundation for further doctoral studies in biostatistics, epidemiology, computational biology, and other related fields.

Add your name to the admissions mailing list now and apply by December to join the Master of Science (SM) in Computational Biology and Quantitative Genetics program at Harvard School of Public Health.

About the Program

  • The Master’s Degree Program in Computational Biology and Quantitative Genetics is designed for students seeking both theoretical and practical training in the quantitative analysis and interpretation of large-scale, public health genomic data.

Students will receive training in quantitative methods, including:

  • linear and logistic regression
  • survival analysis
  • longitudinal data analysis
  • statistical computing
  • clinical trials
  • statistical consultation and collaboration
  • epidemiology

Students will also gain a strong foundation in:

  • modern molecular biology and genetics
  • computer programming
  • the use and application of tools for analysis of genomic data
  • methods for integrative analysis
  • meta-analysis of genes and gene function

The program, which is typically completed within 18-24 months, requires a minimum of 60 credits of course work and a supervised 20-credit Collaborative Research Thesis. The Collaborative Research Thesis is carried out at selected research institutions where trainees will have access to mentoring by experienced quantitative scientists with expertise in the analysis of genomic data. The thesis is presented in both oral and written form before a committee consisting of a thesis advisor and two other department faculty.

Core Competencies

  • The program is designed to provide students with the essential skills and competencies they will need to be key contributors in research projects involving the large, complex genomic datasets that are becoming increasingly common in all areas of biomedical, biological, and public health research.

Biological Background

  1. Working knowledge of molecular genetics, including Mendelian inheritance, complex trait inheritance, and the essentials of DNA and its role
  2. Working knowledge of the Central Dogma of Molecular Biology
    (DNA->RNA->protein), including an understanding of transcription, splicing, and translation
  3. Working knowledge of feature organization within the genome (including genes and regulatory regions) as well as the challenges of gene finding
  4. Familiarity with processes that regulate gene expression and protein translation, including transcription factors, miRNAs, etc
  5. Familiarity with epigenetic regulation, including DNA methylation and histone modification
  6. Familiarity with gene functional descriptions (such as the Gene Ontology) and basic signal transduction and metabolic pathways
  7. Familiarity with modern technologies, including genotyping and gene expression arrays, genome-seq, exome-seq, RNA-seq, ChIP-seq, etc, and their applications
  8. Understanding of metagenomics and its importance

Bioinformatics Background

  1. Familiarity and ability to use the major genomics data resources, including those at NCBI, EBI, and UC Santa Cruz
  2. Understanding of sequence alignment algorithms
  3. Basic knowledge of gene finding methods and challenges
  4. Familiarity with gene functional annotation, including Gene Ontology and Pathway databases
  5. Ability to write simple scripts to download and transform data into useful formats
  6. Working knowledge of basic data analysis and data mining techniques such as hierarchical clustering, k-means clustering, PCA, SVD
  7. Working knowledge of basic statistical tests including t-tests, ANOVA, linear modeling, Fisher’s Exact Test, Kolmogorov-Smirnov statistics, chi-squared tests, and their applications
  8. Familiarity with Bayesian statistical approaches, MCMC, Gibbs Sampling, and HMMs
  9. Familiarity with machine learning approaches such as Bayesian Networks and Artificial Neural Networks, Classification and Regression Trees, and genetic algorithms
  10. Familiarity with bootstrapping, jackknifing, and sensitivity/recall/ROC curve analysis, and other empirical method
  11. Familiarity with modern network theories, including scale-free network models and their measures.

Computational Skills

  1. Working knowledge of UNIX
  2. Working knowledge in a scripting language such as Perl or Python
  3. Working knowledge with an advanced programming language such as C, C++, or Java
  4. Working knowledge of R/Bioconductor
  5. Familiarity with database programming and modern web technologies

Biostatistics Skills

  1. Fundamentals of experimental design
  2. Rates and proportions
  3. Parametric and non-parametric statistical methods
  4. Basic inference
  5. Regression and ANOVA
  6. Applied survival analysis
  7. Applied longitudinal analysis
  8. Bayesian statistical analysis

Epidemiology Skills

  1. Ability to critique the existing evidence for a particular research topic, review and summarize information from many studies
  2. Ability to develop a research question and formulate study objectives, define a set of related specific aims, write a research protocol for a given study question
  3. Ability to identify relevant ethical issues in a given study
  4. Ability to develop sampling procedures and be able to undertake calculations for sample size and power requirements
  5. Ability to identify methods of data collection appropriate to the study design and population
  6. Ability to design efficient data collection and data management procedures
  7. Ability to choose and use the techniques appropriate for estimation and hypothesis testing in selected situations
  8. Ability to perform data cleaning and data management operations to prepare for data analysis
  9. Familiarity with data cleaning and management techniques used to prepare unconventional data sources (such as large pharmacoepidemiology data, vital records, EMR, and cohort data) for causal inference exercises
  10. Familiarity with a comprehensive set of statistical methods suitable for a wide range of epidemiological situations; ability to summarize and present data in graphs and tables
  11. Familiarity with methods to assess and possibly correct for measurement error
  12. Familiarity with methods for managing missing data problems
  13. Ability to interpret the results of statistical procedures and draw appropriate conclusions

Application Requirements

All applications must be submitted through the Schools of Public Health Application Service. In addition to the application, applicants must submit to SOPHAS a statement of purpose and objectives, official test scores, three letters of reference, resumé/curriculum vitae, and all post-secondary transcripts or marks sheets (see our contact page for SOPHAS’ mailing address)

  • Applicants may apply to only one degree program for either full or part time status. Applications are reviewed in their entirety and decisions are released via email in late February/early March. Decisions are not released until all application components are received.
  • Please make note of the statement of purpose and objectives required by the degree program to which you are applying. DrPH, JD/MPH and non-residential Master of Science in Health Care Management for physician and dental executive applicants need to submit a statement specific to the respective programs as described in the Statement of Purpose and Objectives section.
  • Please ensure that you are submitting the correct Statement of Purpose and resume/CV. HSPH Admissions will not be able to upload revised statements of purpose nor updated resumes/CVs after submission of your application to SOPHAS.
  • Applicants to the Occupational and Environmental Medicine Residency should read these special instructions.

Read more

http://www.hsph.harvard.edu

Tuesday, 26 August 2014

Faculty Position - Computational Biology @ The Fred Hutchinson Cancer Research Center

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Job details:

The Computational Biology Program invites applications for a faculty position at any rank (assistant, associate, or full member). The candidate will receive an appointment in the Computational Biology Program and also in the Center Scientific Division that is best suited to support the candidate's research program.
We are seeking candidates with strong biological research programs that develop and use novel computational biology methodologies, including algorithms or genome-scale biotechnologies, or that use multiple existing techniques together in innovative ways. All research areas will be considered, but candidates whose research programs are related to functional genomics or cancer are particularly encouraged to apply.

The Art of Science - Fred Hutchinson Cancer Research Center

Qualifications

  • Applicants should have a PhD. or an MD. Faculty rank will be dependent on qualifications and experience.
  • Applications received by November 15, 2014 will be guaranteed full consideration for the position.
  • Applications that arrive after that date will be considered as long as the position remains open.
  • Applicants should submit a cover letter, curriculum vitae, and research statement of no more than four pages. They should also arrange to have up to three letters of reference submitted on their behalf.

Apply online

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Read more

https://faculty-fhcrc.icims.com
 
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