59 computational-complexity-"U.S"-"U.S" Postdoctoral positions at Stanford University
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equivalent degree from an epidemiology, biostatistics, data science, computer science, or related programs with an interest in population health measures to apply. The scholar will join a vibrant and growing
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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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preparation and dissemination of findings at national and international conferences. Collaborate with investigators across rheumatology, pain medicine, biostatistics, informatics, and behavioral science
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Program at the Stanford Cancer Institute. She has an academic interest in Precision Medicine and her lab applies cutting-edge sequencing and imaging technologies to better understand skin cancer and rare
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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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internal equity. Pay Range: $73,800 - $82,278 Open postdoctoral position through the Stanford Impact Labs Postdoctoral Fellowship Program (link is external) with the Fletcher Lab (link is external
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learning, expanding our lab’s core strengths in behavioral and computational approaches to studying social cognitive development. Mentorship Structure The postdoctoral fellow will be mentored by Professor
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Posted on Wed, 02/12/2025 - 13:20 Important Info Deprecated / Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
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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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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance