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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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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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Requisition Id 15337 Overview: We are seeking a Postdoctoral Research Associate who will focus on applying computational methods in the areas of interfacial chemistry of rare-earth elements
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Requisition Id 15305 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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breeding blankets, including computational fluid dynamic (CFD), thermal hydraulic, and magnetohydrodynamic (MHD) analyses. We seek individuals with advanced analytical and computational skills who can use
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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Requisition Id 15217 Overview: The Multiscale Biomedical Systems group in the Advanced Computing in Health (ACH) section in Computational Sciences and Engineering Division (CSED), Computing and
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Earth scientists, geospatial experts, and computational scientists to leverage leadership-class computing resources for large-scale model training, testing, and deployment. Knowledge Dissemination