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areas, using advanced technical and professional knowledge. Contribute to development of staff training programs. Frequently sit, perform desk-based computer tasks. Occasionally stand, walk, twist, use
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systems at the molecular or cellular scale; building and deploying computational or machine learning strategies in drug design or development; and other research programs that align with both molecular and
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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one of the founding departments at Stanford. The department is
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, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one
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market pay for comparable jobs. The pay range for this position working in the California Bay area is $120,000 - $150,000. DESIRED QUALIFICATIONS: * Advanced degree (e.g., MPH, MS, PhD, or equivalent) in a
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from varied sources, and machine learning methodologies Required Application Materials: 1. A cover letter describing: a. Your interest in this position b. Your relevant training and experience c. Your
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of