2,610 computational-physics "https:" "https:" "https:" "https:" "IFM" Postdoctoral positions in United States
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders
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, neurodegenerative conditions, and other diseases. We seek candidates with expertise in one or more of the following areas: mathematical modeling, differential equations, stochastic processes, scientific computing
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motivated Postdoctoral Associate with a strong analytical background to join our research program in systems epidemiology and continuous glucose monitoring (CGM). Our group integrates epidemiologic data with
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Postdoctoral Associate Early Childhood Cognition Lab at Duke / Dr. Tamar Kushnir Department of Psychology and Neuroscience Overview The Early Childhood Cognition Lab at Duke’s (http://www.ecclabduke.com
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to collaborate with faculty from the Lucy Family Institute for Data and Society and the ND Population Analytics Program on other research projects and to advance the candidate's own scholarly agenda as well
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, this position is designed for a promising scholar with strong data skills who will work directly with Dr. Alexander Kustov, Associate Professor of Migration, on an ongoing research program that is aimed
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cows. In this applied program, we aim to support the science-based development and on-farm implementation of innovative management approaches with emphasis on practices that improve udder health
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members participate fully in work and campus life free from harassment and discrimination. Application Materials Required: Further Info: https://academicpositions.harvard.edu/postings/15318 Harvard Physics
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Engineering, Computer Science, or a related field. Accompanying Knowledge, Skills, Abilities and Competencies Excellent abilities in molecular modeling and simulations (molecular dynamics or Monte Carlo
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learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science, or a related field is required