361 computer-programmer-"https:"-"FEMTO-ST"-"Inserm"-"U" "https:" "https:" "https:" "https:" "P" positions at Oak Ridge National Laboratory
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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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will focus on long-term annual capacity planning to meet program objectives as well as short-term machine operations planning based on resource availability and changing operational conditions. This
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nuclear material, classified matter, and other DOE assets based upon analysis. Working knowledge of current versions DOE Order 473.1A, Physical Protection Program, DOE Order 470.4C, Safeguards and Security
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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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program requirements and/or future client needs. Provide input on how to make optimum use of the resources of the organization (i.e., Supply Chain Management). In conjunction with the supervisor, develop
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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