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postdoctoral fellow, Dr. Adriana Umaña-Taylor, and other PIs at collaborating sites to analyze data, write grants, and contribute to dissemination efforts in peer-reviewed scientific journals. Primary
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. The laboratory applies in vitro and in vivo experimental techniques to study normal and malignant stem cells in aging, cancer, and chronic disease. Additional information on the laboratory can be found on our
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research and current research interests (2 pages max.) One representative writing sample such as a journal article or dissertation chapter List of three relevant references, including contact information
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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