59 postdoc-computational-physics "https:" "RAEGE Az" Postdoctoral positions at Oak Ridge National Laboratory
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in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE1 [#27205] Position Title: Position Type: Postdoctoral Position Location: Oak Ridge
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Oak Ridge National Laboratory, Mathematics in Computation Section Position ID: ORNL-POSTDOCTORALRESEARCHASSOCIATE2 [#27206] Position Title: Position Location: Oak Ridge, Tennessee 37831
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iterative solvers. Successful applications will work in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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Computer Science, Data Science, Computational Science, a scientific domain relevant to AI (e.g., physics, biology, chemistry, climate), or a closely related field (within the last 5 years or near completion
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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potential for high-impact research contributions at the forefront of computational quantum many-body physics. This position resides within the Computational Chemistry and Nanomaterials Sciences group in