9 distributed-algorithm-"UNIS" Postdoctoral positions at Oak Ridge National Laboratory
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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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validate these distributed intelligence algorithms, enabling breakthroughs in scientific research across DOE domains. The candidate will collaborate with DOE’s SWARM project (https://swarm-workflows.org
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conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms
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advanced sensing and controls algorithms for manufacturing Communicate research results through presentations, reports, conference papers, and peer-reviewed journals Deliver ORNL’s mission by aligning
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computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
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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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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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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