132 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Stanford University
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a bacterial sialidase, which cleaves sialic acid from the cancer glycoproteins, eliminating Siglec-mediated immune suppression, and activating immune attack. The position is fully funded. Interested
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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their skills in translational biomedical innovation with potential impact in both academic and industrial settings. Required Qualifications: PhD in bioengineering, biomedical engineering, mechanical engineering
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. The position is fully funded. Required Qualifications: The successful candidate should be highly motivated and hard working, with outstanding past research success and publication history, with an MD, PhD or MD
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interdisciplinary scientific evidence. This program is funded by the U.S. Department of Education's Institute of Education Sciences (IES) (link is external) , grant number R305B220018, and housed at the Stanford
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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Affairs. The FY25 minimum is $76,383. Our postdoctoral research fellowship program is dedicated to preparing scholars for an academic career in the domains of pediatric perioperative, pain, sleep, and/or
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: Epidemiology, Biomedical Informatics, Biostatistics, Public Health, Computer Science, Health Services Research, or a related discipline Strong quantitative and analytical skills, with proficient programming
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nationally and federally funded, interdisciplinary research program focused on improving healthcare delivery by understanding and intervening in the human systems behind it. Based in the HEAL and Kim Labs
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. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data