70 computing-optimization "EURAXESS" Postdoctoral positions at Rutgers University in United States
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: 279052 Minimum Education and Experience: PhD degree in Health Informatics, Biomedical Informatics, Information Science, Health Sciences, or a related field Prior experience with applied
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Pharmacoepidemiology/Health Informatics Department Institute for Health, Health C Salary Details A minimum of
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: 278296 Minimum Education and Experience: Minimum Education: Ph.D. in chemistry, physics, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least
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Position Details Position Information Recruitment/Posting Title Postdoctoral Researcher in Theoretical and Computational Chemistry Department Chemistry & Chemical Biology Salary Details $63,968
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the Department of Molecular Biology and Biochemistry on Rutgers’ Busch Campus, within walking distance of research buildings for computer science and medicine as well as fundamental biology is searching for a Post
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correlated with increased optimism, inspiration, and general social efficacy in individuals. Our seminar aims to approach these issues from an interdisciplinary perspective. Can nostalgia be defined, and how
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correlated with increased optimism, inspiration, and general social efficacy in individuals. Our seminar aims to approach these issues from an interdisciplinary perspective. Can nostalgia be defined, and how
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic