249 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
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transformative solutions to compelling problems in energy and security. The Enrichment Systems Engineering Section is seeking a Process Design Engineer who will support the Enrichment Science and Engineering
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Requisition Id 15711 Active DOE Q, active DOD Top Secret, or active DOD TS/SCI clearance is required for consideration. Overview: We’re hiring a Full Stack Information Technology System Engineer
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking an SAP Functional Analyst to serve as a
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Qualifications: An M.S. in electrical engineering with a focus on power electronics applications for the grid Experience related to designing and controlling power electronic systems. Experience with power
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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Requisition Id 15669 Overview: We’re hiring an AI Developer having AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and
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Requisition Id 15528 Overview: The Laboratory Protection Division is seeking a qualified Security Network Engineer. In this role, you'll ensure the stability, performance, and secure operation of
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through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https
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, assembly, and inspection processes to support multiple enrichment technology programs. The Prototype Manufacturing Group resides in the Enrichment Systems Fabrication and Demonstration Section, Enrichment
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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