90 computer-science-programming-languages-"U.S" "INSAIT The Institute for Computer Science" Postdoctoral positions at Stanford University
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federally funded, interdisciplinary research program focused on improving healthcare delivery by studying and intervening in the human systems that support it. Based in the HEAL and Kim Labs at Stanford
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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Postdoctoral position in Computational Immunology We are looking for two motivated postdoctoral researchers to work on human macrophage biology in the Department of Pathology at Stanford. Successful candidates
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Description The Stanford Department of Applied Physics 2025-26 Karel Urbanek and the Marvin Chodorow Postdoctoral Fellowships is an annual program aimed at recruiting young scientists of exceptional ability
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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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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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. Xiaojie Qiu (Genetics & Computer Science) (link is external) and Dr. Matteo Molè (Obstetrics & Gynecology) (link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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through the Stanford Impact Labs Postdoctoral Fellowship Program (link is external) with Profs. Irene Lo, Itai Ashlagi, and the Stanford Impact Lab on Equitable Access to Education Postdoctoral Fellow
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fleet, and vendor collaboration with GE Healthcare. Personal ideas and collaborations with other groups in the Stanford Radiologic Sciences Lab are encouraged. Current collaborators include Dan Ennis