45 professor-computer-science-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions at Nature Careers
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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. This unique program brings together expertise in cancer care delivery research (Dana-Farber’s Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI’s cancer genetics, health
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nervous system (CNS) tumors. We are seeking an exceptional candidate to join our Molecular and Cell Biology (MCB) Program. This position focuses on investigating DNA repair pathways in brain tumors, with
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science into benefits for human health and the economy. About the role Our lab aims to understand how functional organs are built during embryonic development, an important problem in biology with
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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• Opportunities to build a competitive academic portfolio Minimum Qualifications: • MD, DO, or equivalent medical degree (or currently enrolled in an accredited residency/fellowship program), or advanced
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of Laboratory Medicine, NIH Clinical Center on the main Bethesda NIH campus. Requirements Ph.D. in genomics/genetics, molecular biology, biochemistry, immunology, or related discipline. Prior experience in cancer
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status and have privileges to apply for external grants to expand their research program. The Fellows will have a strong support network and opportunities to build a highly interdisciplinary and
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at Dana-Farber Cancer Institute. The successful candidate will have a strong interest in cancer biology and therapeutics and will function as part of a multidisciplinary basic science and translational team
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to ensure transparent, inclusive and fair selection. About the opportunity The mission of CIMR is to connect the fine details of cellular and molecular biology with the big picture of human disease. By