210 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at Brown University
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from the USDA National Genomics Center for Wildlife and Fish Conservation. For either position, there is flexibility with respect to field vs. computational work depending on applicant pool
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Protection Program (HRPP) and Institutional Review Board (IRB) policies and procedures related to the conduct of human subjects research studies at Brown University, Lifespan, and Care New England
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across eight institutions, spanning every area of academic and clinical research. The University is hiring multiple positions in the role of Human Research Protection Program (HRPP) Administrator and
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Psychological Sciences, Computational Biology, Engineering, Geosciences, Mathematics, Physics, and Public Health. We are also a founding partner of Brown’s Data Science Initiative and participate in the NSF
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Society, and the Brown Institute for Translational Science. Many faculty also have appointments at the Providence Veteran’s Administration Medical Center. Applicants must have a doctoral degree (MD or a PhD
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education in the emerging field of data science. DSI currently includes two interdisciplinary research centers, the Center for Computational Molecular Biology (CCMB) and the Center for Technological
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currently includes two interdisciplinary research centers, the Center for Computational Molecular Biology (CCMB) and the Center for Technological Responsibility (CNTR). CNTR’s mission is to redefine
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including release of information, faxing, scanning, copying, filing, referrals and referral tracking. This is a 9 month (end of August to end of May), 5 day a week position. During the time off over
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with a proven track record in program delivery, facilities oversight, and staff supervision. The successful candidate for this position will be required to complete a criminal background, Education and
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, computer science, or related quantitative field with considerable knowledge and experience in statistical computing. Candidates with experience and interest in statistical and data science methods for cancer