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Computing Support Division of the Information Technology Services Directorate (ITSD) at Oak Ridge National Laboratory (ORNL). This position will require a regular on-site presence. We optimize our workflows
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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optimal results from the ORNL’s quantum/HPC computational resources and systems. Major Duties/Responsibilities: Leadership Develop a vision and implement a cohesive group research strategy to ensure
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will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring
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the development and optimization of products for a variety of industries from automotive to aerospace made from new bio- and waste-derived plastic resins and fillers. The ideal candidate for this role would be
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for scientific computing and high-performance computing environments. Develop and evaluate optimization techniques for machine learning workflows, including approaches for model tuning, automated model design, and
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative