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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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and existing strategic directions for the ORNL and DOE Stable Isotope Program. Research, develop, and execute new methods of processing materials unique to extremely high-value isotopic material
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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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Isotope Program and other DOE mission areas. This has been a quickly expanding program at ORNL and offers significant opportunities for professional growth. The team demonstrates a collective excitement for
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Isotope Program and other DOE mission areas. This has been a quickly expanding program at ORNL and offers significant opportunities for professional growth. The team demonstrates a collective excitement for
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, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML
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policy issues that strive to ensure global nuclear security. One of our major focus areas is the development of advanced approaches to operation, characterization, and analysis of nuclear fuel cycle
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at ORNL. Research activities will include the design of efficient data preprocessing workflows, transforming level-1b large volumes of high-resolution satellite imagery, deployment feature extraction and
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to support the design. Perform computational fluid dynamic, computational magnetohydrodynamic, thermal hydraulic, and mass transport simulations of tritium breeding blanket designs. Collaboration with a broad