17 computational-material-science-"Multiple" Postdoctoral positions at Stanford University
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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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Materials: Please submit application via Google form: https://docs.google.com/forms/d/e/1FAIpQLSfAS-egCfr_XyEVyfHOteldrYpN4OBmsEakpZeR652flQIsKA/viewform?usp=dialog (link is external) Does this position pay
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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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population health research, including but not limited to Epidemiology, Urology, Public Health and Policy, Biostatistics, Computational and Data Sciences, Nursing, Psychology, and Sociology. An interest in
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for diverse applications in biomedical informatics (e.g., classifying patient outcomes in multiple domains, outcome prediction of treatment based on EHR) Work with large-scale biomedical datasets (e.g
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Posted on Tue, 03/04/2025 - 15:09 Important Info Deprecated / Faculty Sponsor (Last, First Name): Bohg, Jeannette Stanford Departments and Centers: Computer Science Postdoc Appointment Term: 2025
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grant. Our program has successfully trained and helped transition multiple postdoctoral fellows into independent research careers. We are currently accepting applications for trainees interested in
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis
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Application Materials: Send required application materials to jyeatman@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for this position is the
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2024) in computer science, statistics, a computational social science or related discipline. Demonstrated interest in large language models and study of change. Substantial experience with transformer