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qualifications for the role. Provide contact information for 3 professional references. Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University
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research at the intersection of AI reasoning, biomedical informatics, and clinical medicine. Our work focuses on understanding how AI systems reason over complex longitudinal patient information, how
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and execute innovative mechanistic studies in retinoid biology and pancreatitis • Lead and interpret data from genetic models, organ physiology, and omics based experiments • Collaborate across
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, areas of interest, career goals, and relevant experience. (max 2 pages) CV Contact information for three references. Stanford is an equal opportunity employer and all qualified applicants will receive
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mission Curriculum vitae that includes a publication list Names and contact information for three references Stanford is an equal opportunity employer and all qualified applicants will receive consideration
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health, artificial intelligence, and data science applications to healthy aging and caregiving Our Research Community The fellow will join an interdisciplinary consortium that brings together investigators
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motivated and skilled postdoctoral researcher to lead projects related to PhacoTrainer—computer vision models for cataract surgical video recognition. Project themes will include validating PhacoTrainer
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, and Heart Failure Discovery We are seeking a postdoctoral fellow to work at the intersection of cardiovascular medicine, biomedical data science, artificial intelligence, genetics, imaging, and multi
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. The Sheltzer Lab is a highly-collaborative environment that values rigorous research and that welcomes scientists from all backgrounds. More information on research in the lab can be found on our website
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scientists from all backgrounds. More information on research in the lab can be found on our website (www.sheltzerlab.org (link is external) ) and in the following publications: Lee, Long, K., Bhattacharjee, D