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an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing
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, engineers, and program managers to gather technical information and translate complex material into accurate, web-optimized formats. Draft and edit web content to ensure clarity, technical accuracy, and
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these important missions by teaming with ESED’s division director, program managers, and staff to build on a rich history of accomplishments in enrichment science and engineering. As part of our team, you will
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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work closely with the ORNL Isotope and Enrichment Project Director and the Infrastructure Program Manager within ISED. ORNL is the largest DOE science and energy laboratory, conducting basic and applied
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, optimize processes, and extract insight from complex datasets. Design and execute experiments informed by modeling and simulation, ensuring tight integration between computation and physical systems. Advance
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test and participation in an ongoing random drug testing program. About ORNL As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy
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requirements under the supervision of a project controls manager for the program. This will include support for: Development/maintenance of project work breakdown structure (WBS) and dictionary, Development
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a particular emphasis on error-corrected methods for future fault-tolerant quantum computing. The algorithms will be designed to address key models of quantum materials, such as the Hubbard model
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part