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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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/biological systems”, will employ analytical and computational multiscale modelling methods (molecular dynamics, stochastic dynamics, track-structure Monte Carlo simulations) to analyse key radiation damage
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”) on the development of material flow analysis (MFA) methods and digital methods for spatial analysis. Specific tasks comprise: Design and apply digital models for analyzing and simulating circular futures
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learning workflows, and developing complete models. Example applications include drug design, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics
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. Objectives: Characterize the hydrodynamics of the gas phase in bioreactors at different scales (20Là15m3) CFD simulation of gas/liquid flow using the Eulerian approach (two-fluid model) Comparison between
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and with the 2AT team at Institut Pprime to develop resolvent-based modelling tools for turbulent jets in cases where the jet mean flow is three-dimensional. The researcher shall: - Develop a high-order
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-of-the-art technology. Research the current state of metal hydride storage systems and select a suitable metal hydride for your simulation Create a model of the storage system in Aveva Process Simulation and
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models (Thesis 2). In France, patients with chronic kidney disease (stages 1 to 5 or on dialysis), monitored by the Charles Mion Aider Santé Foundation across 23 centres in Occitanie, will enable the study
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train 15 early-stage researchers to develop human-relevant neuroscience tools beyond animal models, advancing next-generation in vitro and in silico New Approach Methodologies for complex brain disorders