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School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working
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Rotary awards up to 170 funded fellowships a year for dedicated leaders from around the world to study at one of our eight peace centers. Through academic training, practice, and global networking
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health services researcher, with an interdisciplinary research agenda focused on preventing firearm injuries, reducing health disparities within communities, and identifying opportunities for intervention
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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learning in context. Our research examines mechanisms of human learning, the conceptual structure of human knowledge, how people communicate expertise, and effective strategies when trying to build new
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | about 19 hours ago
of the fellowship, participants will participate in networking opportunities, leadership development and community outreach. Highlights of the program include: One year program Cohorts starting in January and July
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Genetics in the Semel Institute and Brain Research Institute at UCLA, which has one of the largest and highly collaborative neuroscience community. The trainee can also benefit from our broad network
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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contribute to NIH-funded studies that investigate the structural and functional brain networks underlying language processing and recovery in individuals with post-stroke aphasia. The position offers
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and