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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
candidates are being sought to join a basic and translational research program focused on the immunology of T cell-mediated autoimmune disease; specifically type 1 diabetes (T1D). Our group is part of
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their work. Qualifications: PhD in Anthropology, Computer Science, Linguistics, Science & Technology Studies, or a related field Strong publication record or demonstrated potential for impactful research
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages the exceptional research
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in infectious disease therapeutics. This NIH sponsored training program has been designed to leverage the outstanding
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described below? Are you our future colleague? Apply now! Education The candidate should have a PhD degree in Chemistry, Chemical Engineering, Electrochemistry or related fields. Experience and skills
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(HL-LHC) upgrade. BNL serves as the host laboratory for the U.S. ATLAS Operations Program, the U.S. ATLAS HL-LHC Upgrade Project, the ATLAS Tier-1 computing facility, and is an active U.S. ATLAS Center
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating