84 professor-computer-science-"https:" "https:" "https:" "https:" "University of Cambridge" Fellowship positions at Nature Careers
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
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the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy
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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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-performance computing clusters (>105,000 processors). This unique interdisciplinary environment emphasizes the integration of AI in life sciences, offering an outstanding platform for recent Ph.D. graduates