17 computer-science-programming-languages Postdoctoral positions at Stanford University
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relevant programming language (e.g., R or Python). Strong written and oral communication skills. Experience managing multiple projects at once. Willingness to learn new technical skills and gain knowledge in
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Application Materials: Research environment The Postdoctoral Scholar will join an interdisciplinary research program spanning high-temperature reacting flows, aerosol science, carbon nanotube synthesis
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of the transformation science and sustainability transitions literatures to help advance the intellectual core of the Transformation Science Program. About the Transformation Science Program The Transformation Science
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control, high-performance computing, and open science workflows Strong quantitative skills as well as excellent written and oral communication abilities. A strong record of scholarly productivity
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University Department of Emergency Medicine is seeking a postdoctoral fellow to join our research program. We are focused on generating data to inform how best emergency departments can most effectively
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research, or a related discipline, or an MD degree with demonstrated research experience in computational or quantitative methods. Strong programming skills in languages such as Python, R, or SQL would be
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availability, and internal equity. Pay Range: $80,826 to $90,826 per annum The epidemiology of ultrafine particles emitted from gas appliances The Stanford Electrification for Health program, based
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computational structural biology, ideally complemented by molecular biology expertise, who are excited to work at the interface of these disciplines. Lab overview: The Huttenhain lab in the Molecular & Cellular
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, synthetic biology, genetic screening, and computational biology. Projects are designed to be tailored to the scholar’s interests, and additional details can be discussed following initial inquiry. About the
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program. The lab investigates fundamental mechanisms of immune recognition and regulation in clinically relevant contexts, with a particular focus on transplantation immunology and viral immunity. Our work