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verify, validate, and benchmark developed algorithms on available hardware. Deliver toolkits and new capabilities that execute on ORNL’s leading computational infrastructures. Collaborate in authoring peer
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teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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Requisition Id 15000 Overview: We are seeking an Associate R&D Staff member who will focus on algorithmic tools for process monitoring, diagnosis, and control. This position resides in the Sensors
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on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing. We are a
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the Computational Urban Sciences Group in the Advanced Computational Methods for Engineered System Section, Computational Sciences and Engineering Division, Computing and Computational Sciences Directorate, at Oak
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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partnerships with industry, universities, and other national laboratories Design and implement advanced sensing and controls algorithms for manufacturing Communicate research results through presentations
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data science, statistics, nuclear engineering, and scientific computing to deliver high-impact research and solutions that address some of our nation's most challenging security threats. Major Duties
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-functional teams to advance research in algorithms, computing methods, and engineered systems, while continually expanding technical expertise Deliver ORNL’s mission by aligning behaviors, priorities, and