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Science & Engineering Division, Isotope Science & Engineering Directorate, at Oak Ridge National Laboratory (ORNL). The Enrichment Science and Engineering Division serves the nation in two critical areas
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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 Deliver ORNL’s mission by aligning behaviors, priorities
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security challenges facing the nation. We are seeking a Machine Learning (ML) Research Engineer who will support the development of self-supervised learning methods for large vision-language models
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and operation of new gas centrifuge technology associated with the enrichment of stable isotopes. The ESED serves the nation in two critical areas: advancing enrichment technologies, and exploring
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Requisition Id 16106 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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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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investigations of counterintelligence, terrorism, and insider threats relevant to the protection of the DOE NNSA facilities and US national security Develops and maintains professional relationships with
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ability to work as part of a team. Strong working knowledge of Unix system fundamentals and common network protocols. Experience managing Linux/UNIX operating systems in a heterogeneous environment. Solid
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economic benefits for the nation. Our partnerships with U.S. Department of Energy (DOE) laboratories, universities, and industry enable us to accelerate science and innovation. The Office of Research