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Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic
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. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
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Number: 16451 School: Harvard Medical School Position Description: We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon's group in the Program of Genetics at Harvard Medical
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‑growth opportunities. Your qualifications should include: Ph.D. in computer science, bioinformatics, computational biology, genetics, or a closely related quantitative field. A degree in computer
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received a doctoral degree in the one of the relevant fields (e.g. bioinformatics, computational biology, or relevant degrees (such as molecular biology, genetics / genomics, systems biology, microbiology
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involved in the bioinformatic and analytic aspects of predictive modeling. MINIMUM JOB QUALIFICATIONS: A Ph.D. in bioinformatics, genetics, statistics, mathematical, physical, or computer
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retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal
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, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis
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unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
-year, time limited position with the possibility to extend to 2 years. This is a computational position that offers a collaborative opportunity between basic science (computational genome science) and