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Qualifications: Applicants must have completed their PhD no more than three years prior to the date of appointment to the fellowship. A Doctorate in Arts (DA), honorary doctorate, or any other degree equivalent is
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and radiolabeling of the resulting constructs. The fellow will conduct interdisciplinary research to develop unique translational therapeutics or methods to quantify the imaging data. Our federally
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, publications and experience presenting data at national and international meetings Names and addresses of 3 academic references. One of these must be your main PhD supervisor. Stanford is an equal opportunity
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PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and
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degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine
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to function studies in the context of human genetics of complex traits and generating large data sets for collaborative science. The PI is committed to training and mentoring and will provide exceptional
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: Pathology Biomedical Data Science Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please email the required
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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, curating and analyzing a deeply-phenotyped dementia and healthy older control dataset. We have generated over 1200 long-read sequencing (LRS) genomes of diverse phenotypes and have additional multiomic data
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Qualifications: Recently completed PhD or other doctoral degree in a discipline related to indoor air quality. Training in epidemiology, exposure modeling, and/or environmental health and toxicology preferred