696 parallel-computing-numerical-methods-"Simons-Foundation" positions at Stanford University
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genomics datasets for model training in computers. Independently conduct experiments; maintain detailed records of experiments and outcomes; run training and inference of AI models for cancer diagnosis
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macromolecules, and regulate processes across viral and cellular contexts. The YAK Lab develops and applies biochemical and structural methods alongside computational/ML models to reveal the principles governing
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cutting-edge methods for enhanced anatomic and functional imaging. Our diverse multidisciplinary teams of scientists, together with industry collaborators, are creating new methods for the early detection
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community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical computation, methods development, data
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Stanford’s Department of Athletics, Physical Education and Recreation: Stanford’s Department of Athletics, Physical Education and Recreation (“DAPER”) is the premier intercollegiate athletic program
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the elderly using a variety of approaches. We utilize human genetics, mouse models, engineered cell lines, single-cell methods, and CRISPR screens to study clonal hematopoiesis. We are looking
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; maintain detailed records of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding
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an experienced Integration Developer to support the technical implementation of the University’s cloud-based Human Capital Management (HCM) software application suite as part of the Pinnacle program. Pinnacle
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providers; multidisciplinary researchers who continue to push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging; staff who
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era