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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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, surrounded by Stanford’s hubs for medicine, computer science, and data science —perfect for interdisciplinary science. Required Qualifications: Ph.D. in Molecular Biology, Cell Biology, Developmental Biology
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and a research angiography suite (Zeego Lab), and partner closely with leading researchers across engineering, materials science, biology, clinical medicine, and industry. The successful candidate will
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will have broad scientific and public health impact in infectious diseases. We are recruiting for postdoctoral scholars with interests in neglected tropical diseases (particularly schistosomiasis) and/or
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is $76,383. Are you looking for a challenging and rewarding postdoctoral fellowship in pain science, substance use disorders (SUD), or data science? Join the next generation of pain and SUD
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patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
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and compare genomic data for Asian subgroups in collaboration with basic science teams. Specifics on Year 1 projects can be found on our website. (link is external) The CARE Scholars Program (link is
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Application Materials: Curriculum Vitae Cover letter describing relevant experiences, interests, and goals A scientific writing sample (e.g., first-author manuscript or thesis chapter) Contact information for 3
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-AI), and retrieval-augmented generation (RAG). Tina Hernandez-Boussard, MS, MPH, PhD (link is external) , is Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and
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and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific