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on developing novel neural network approaches to predict protein conformational dynamics from fixed protein structures, addressing fundamental challenges in structural biology with broad applications in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 days ago
but not limited to: Dense Star-Forming Regions: Investigating the formation, structural evolution, and chemistry of complex organic molecules relevant to interstellar ice mantles and cold molecular
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environment. The candidate will have the opportunity to conduct experiments at a multiuser facility, perform data analysis, and conduct molecular dynamic simulation of magnetized dusty plasma. Responsibilities
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given to candidates who can start at this time). This position is funded through a project to research on roadway hydraulic structure perform, such as culvert, through computational fluid dynamics (CFD
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: https://amboies.com/(link is external) How to Submit Application Materials: Applications will be reviewed beginning September 1, 2026 and will continue until the position is filled. Please submit
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on the development of continuum and discrete, stochastic mechanical models of ordered cellular structures and understanding the role of order in pattern formation. The project is in close collaboration with
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Function The Dillon Lab explores the role of animal-source foods in sustainable food systems. Our work elucidates how system structure mediates sustainability outcomes from management change and policy
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Overview The Rutgers Institute for Nicotine and Tobacco Studies (formerly Rutgers Center for Tobacco Studies) is undergoing dynamic and transformative growth. The Rutgers Institute for Nicotine and Tobacco
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agocancer centers. We seek highly motivated scientists with expertise in computational genomics/AI and/or translational cancer biology to join our dynamic, well-funded research program at the frontier
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) better than rate-based scores. We further hypothesize that these properties covary with genotype. This project aims to (1) assess and understand the potential structure of withdrawal, (2) acquire data from