1,441 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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32356BR Medicinal Chemistry Position Overview This position is available at the University of Kansas, Lawrence. Research projects will be held in the laboratory of Professor Michael Wolfe
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timelines, operational milestones, and sponsor communications. Performs other job duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience
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to evaluate immune activation, cytotoxicity, and persistence. Additional methods may involve CRISPR-based perturbations, viral vector engineering, and immune cell manufacturing workflows relevant to CAR-based
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which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology, and/or basic immunology to apply for the following
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. Job Description: The Institute of Food and Agricultural Sciences welcomes applicants who can contribute to our environment through their scholarship, teaching, mentoring, and professional service
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SPECIFICS The laboratory of Dr. Makova in the Department of Biology at The Pennsylvania State University seeks a Researcher, to work as part of a research team focused on the analysis of mutations in
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Psychology Title: Postdoctoral Position, Department of Psychology, University of Washington Position Details
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Services (12) YesNo Biological Sciences, Coll Of (13) YesNo Board Of Regents, Office Of (1) YesNo Boynton Health Service (3) YesNo Cont And Prof Studies, Coll Of (14) YesNo Dentistry, School Of (22) YesNo
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 18 hours ago
equivalent doctorate (e.g., Sc.D., M.D.) Departmental Preferred Experience, Skills, Training/Education: Ph.D. in Political Science, Economics, Public Policy, Geography, or a closely related Computational or
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in pediatric or related health sciences fields. Scientific Knowledge: Strong understanding of research design, statistical analysis, and data interpretation methods relevant to pediatric research