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of Surgery and the Department of Informatics in the Parkinson School of Public Health for outcomes and informatics research. This position will be responsible for all animal surgeries and post-operative animal
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of Surgery and the Department of Informatics in the Parkinson School of Public Health for outcomes and informatics research. This position will be responsible for all animal surgeries and post-operative animal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit Our mission is to improve the health and well-being of North Carolinians and
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streams. We work closely with a network of collaborators and public health agencies in France and abroad. A few studies illustrating our approach and the diversity of the questions we investigate: Using
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. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking
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in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease