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both heart and mind through a research-based approach. Its programs are based on a theoretical framework that cultivates competencies leading to prosocial behaviors and outcomes that support flourishing
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of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative
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contribute to the excellence of our academic community. A new post-doctoral position in computational modeling and functional neuroimaging related to studies of mood and anxiety disorders is available in
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-funded research program. Dr. Pak’s overall research program investigates genetic, metabolomic, and proteomic factors underlying common sleep disorders and chronic disease. This work spans across
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accredited clinical and research fellowship. The program offers specialized training in the principles and practice of multidisciplinary care of patients requiring extracorporeal membrane oxygenation (ECMO
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and growing academic surgical research program. This fellowship is designed to provide comprehensive training in clinical research methodology, outcomes research, clinical trials, and translational
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transplant surgery fellow and junior faculty member. Applicants of the 2026 Surgical Fellowship Match must submit an application to the San Francisco Match program by 3/1/26 and job applications using
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. For the qualified candidate, there may be an option to create a personalized program, which could include body imaging as well as general and cardiac nuclear medicine rotations. An option for a second year of
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medical school. Graduate of an accredited, post-graduate residency program in Pediatrics or Internal Medicine. Completion of an accredited fellowship program in Allergy/Immunology. Certification Summary
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Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field Excellent scientific written and oral skills Experience in developing state-of-the-art optimization and prediction models