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calculations, reactive empirical force fields, chemical dynamics, deep learning and numerical algorithms, data analysis, experimental characterization and imaging. Our research has involved methodology and
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reactors; analyze the multi-physics aspects of nuclear fission/fusion reactors including neutronics, thermal-hydraulics, structural mechanics, and fuel behavior. Activities may involve reactor analysis
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cases. This position is focused on advancing the capabilities of LLMs to address complex problems within specific scientific domains, with an emphasis on climate risk assessment and analysis. As part of a
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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Advanced Grid Modeling-Planning, Operations, & Controls group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis is seeking a Postdoctoral Researcher
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modeling of crystals, dislocation dynamics, and defect analysis, linking atomic-scale simulations to macroscopic properties. Familiarity or interest in machine learning methods and computing frameworks
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, components and systems. Knowledge of analyses of components and energy conversion systems. Knowledge of computational techniques and numerical methods. Knowledge of computer simulation and data analysis
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and energy conversion systems. Knowledge of computational techniques and numerical methods. Knowledge of computer simulation and data analysis. Knowledge of C/C++ language and parallel programming with