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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
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adequate funding persists. While at Stanford, applicants are encouraged to secure a postdoctoral training award (e.g., an NRSA F32 from the NIH or a postdoctoral fellowship from the AHA), which could readily
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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
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