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physically consistent predictions. You will contribute to models that link composition, processing, microstructure and properties, and support novel alloy and process design targeting key industrial challenges
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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geometry of the estuary; Selection and adaptation of the most appropriate numerical and/or analytical tools for predicting salt intrusion and water-quality evolution in the Guadiana Estuary; Participation in
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PA-2026-0319 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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term contract celebrated under the Labour Code, of 1 (one) doctoral researcher position initial level under private law, for the exercise of scientific research activities in the scientific area of Earth
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complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly complex dynamic system. Minor disruptions can lead to major delays
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selecting simulations to run based on a given prediction objective. • Implement and validate these developments in the YALES2 code. • Utilize high-performance computing resources to run the simulations
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0351-NPP-NOV26-GSFC-Astrophys How to Apply All applications must be submitted in Zintellect Please visit the NASA
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modeling approaches. Develop, optimize, and maintain code and algorithms supporting predictive models. Combine computational algorithms with laboratory automation to enable self-driving laboratories and
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these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024