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intersection of stromal cell biology, tissue regeneration, and autoimmune disease, with unique translational research opportunities. The successful candidate will have the opportunity to develop an independent
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. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
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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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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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Health Epidemiology and Population Health Health Policy Med: PCOR Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Medicine, Center for Digital Health Postdoc
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program. The lab investigates fundamental mechanisms of immune recognition and regulation in clinically relevant contexts, with a particular focus on transplantation immunology and viral immunity. Our work
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can be used to target them. The Sheltzer Lab leverages approaches from functional genomics, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies
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, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies. Potential research directions include identifying biomarkers of sensitivity and resistance to anti
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computational biology and bioinformatics and have made discoveries that are opening the door to possible new treatment approaches to diseases without therapies as well as ways to improve medical care using
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degree in biomedical data science, computational biology, genetics, bioinformatics, machine learning, computer science, statistics, engineering, medicine, or a related field. Strong candidates may have