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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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specialized diagnostics, particularly for high dynamic range and high dimensional measurement of particle beam distributions. This project is motivated by the limitation presented by uncontrolled beam loss
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specialized diagnostics, particularly for high dynamic range and high dimensional measurement of particle beam distributions. This project is motivated by the limitation presented by uncontrolled beam loss
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) strategies, developing cutting-edge solutions in grid-edge integration and control. Our commitment revolves around seamlessly incorporating emerging distributed energy resources, including demand response