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training and will collaborate with PhD students, postdoctoral scholars, faculty, research staff, and external partners. Stanford collaborators include HAI, the Stanford Technology, Impact, and Policy Center
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creative, rigorous, collegial and a great team player Holders of either PhD and/or MD degrees are welcomed to apply. Qualified non-US residents/citizens are also welcomed to apply. Required Application
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attending classes, as University policy allows. Required Qualifications: The NIH requires that candidates must have a PhD or MD (JD or Master’s degree only not accepted) prior to starting the fellowship, and
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data