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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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characterization. Collaborate with line management, project management, and team members to ensure project success. Contribute significantly to R&D, design development, and experimental troubleshooting activities
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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involved with developing and coordinating tests to determine mechanical and thermal properties for use in and to validate simulations. Finally, the candidate will be responsible for providing direction in
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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will
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for the DOE Office of Nuclear Energy and National Nuclear Safety Administration, this position will grant you the opportunity to work with rare nuclear materials, and the unique facilities at ORNL, including