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POSTDOCTORAL ASSOCIATE - XR IN PEDIATRICS AT YALE (XRPEDS) DEVELOPMENT OF TECHNOLOGY-BASED HEALTH PROMOTION EXPERIENCES FOR YOUTH The XR in Pediatrics (XRPeds) Lab in the Department of Pediatrics
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the Departments of Neuroscience, Psychiatry, Psychology, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology, and more. The Wu Tsai Institute, Kavli Institute for Neuroscience
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immunology and chemical biology. The lab utilizes cutting-edge genetic, biochemical, and chemical tools to explore the biology of regulatory T (Treg) cells across various physiological and pathological
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provided, which is a 2 year commitment. Interaction with all medical and surgical faculty will occur on a weekly basis in conferences held to evaluate candidates pre transplant, as well as post- transplant
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as a postdoctoral researcher requires academic qualifications at the PhD or MD level, preferably in Neuroscience, Bio/Statistics, Engineering, Computer Science, or related areas. Interest applicants
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. Jiangbing Zhou, Professor of Biochemical Engineering, we have developed a new delivery platform for genome editing mediated by Cas9 and dCas9 in brains and other organs. The new delivery platform, termed
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Postdoctoral Associate Position in immunity and lung diseases at Yale School of Medicine Starting Date: August 2024 (2 years position- renewable) Are you passionate about unraveling how immune cells impact chronic lung diseases? Do you possess a deep understanding of immunology and biochemistry?...
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effectiveness of repurposed medications to treat alcohol use disorder in people with and without HIV. More details on the aims and objectives of these grants found below. The Postdoctoral Associate will join a
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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, Ph.D
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program that includes genetics and computational biology. The successful candidate will drive a larger effort to produce and integrate spatial proteomic and single cell multiomic datasets of MS lesion in