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, United States of America [map ] Appl Deadline: (posted 2025/09/04, listed until 2026/02/20) Position Description: Apply Position Description Postdoctoral Associate – Scientific Machine Learning for Multiscale Biological
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci
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Posting Summary Logo Posting Number RTF00269PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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The +Pec Proteomics Research Group (+PPRG), led by Dr. Xavier Gallart-Palau and Dr. Aida Serra at the Biomedical Research Institute of Lleida (IRBLleida, Spain) and University of Lleida [https
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop a multiscale fracture mechanics model
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methods and stochastic processes to capture variability, uncertainty, long-term dynamics, and multiscale behaviours. The AGM Research Center is seeking a postdoctoral researcher, supervised by Paul Dario
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of the re-entering vehicle. Multiscale simulations of the downstream expansion behaviour of the residuals for different atmospheric layers. Definition of suitable interfaces to process data for the climate
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Assistant Professor faculty position in the area of computational materials science with interests that may include, but are not limited to, quantum materials, multiscale modeling, and data-driven design of
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: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is
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the relationship with their functionality. To enable large-scale simulations of polymeric functional materials, we develop a multiscale approach combining all-atom and coarse-grained models, achieving both detailed