91 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Stanford University
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Postdoctoral Researcher to spearhead the adaptation and expansion of a novel gene editing delivery technology. This is a unique opportunity to unlock the vast potential of diverse marine organisms—including
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computer science, earth systems science, economics, engineering, health policy, political science, and sociology—to pursue policy-relevant research on topics related to international development and poverty
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, Computer Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural
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collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale quantitative survey datasets using R (preferred) and Stata or other packages
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. Required Qualifications: PhD in Computer Science, AI/ML, Computational Biology, or a related quantitative field. Proven expertise in deep generative modeling and large-scale multimodal learning. Experience
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Pursuing independent research projects related to lead contamination and/or environmental health topics (up to 10% time). Required Qualifications: PhD in a discipline related to chemistry, environmental
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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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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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the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. The Mechanics and Computation Group (Department of Mechanical Engineering, Stanford University) is seeking applicants for the Stephen Timoshenko
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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