183 Computer Science positions at Baylor College of Medicine in united-states-of-America
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and mentees. Performs other job-related duties as assigned. Minimum Qualifications Bachelor's degree in a Basic Science or a related field. Two years of relevant experience. Preferred Qualifications
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, biophysics, or related field RNA biology, genomics, genetics, informatics experience Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine
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Summary Under the umbrella of the Gulf Coast Consortium (GCC), the GCC Center for Advanced Microscopy and Image Informatics (CAMII) is a CPRIT funded, multi-institutional resource designed
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to elucidate mechanisms of vaginal healing. Assesses biomechanical properties of vaginal tissue to inform device design, work with computer simulation. Assists in expanding the TMC-wide Vaginal Tissue Biobank
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for Laboratory Animal Science (AALAS). Preferred Qualifications Candidates with computer skills (email, Excel, Word) are preferred. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal
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College of Medicine. Position: You will join an established NIH funded laboratory that is focused on developing innovative proteomics approaches and using these to new methods to address basic science and
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more about our research https://www.bcm.edu/people-search/pawel-stankiewicz-31243 . The candidate must have excellent computer, written, and oral communication skills, and have knowledge of basic
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computational biology, in combination with basic and/or translational cancer research, are strongly encouraged to apply. Candidates will join a team of multidisciplinary research investigators studying cancer
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other institutions (subcontracts) to ensure adequate documents are given to us for an on time submission. Provides grant program, financial expertise and guidance related to sponsor research to faculty
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a related field. No experience required. Preferred Qualifications A Ph.D. in Genetics, Bioinformatics, Computational Biology, or a related field. Strong background in population genetics, statistical