267 coding-"https:" "https:" "https:" "https:" "https:" "https:" "University of California" "U.S" "U.S" uni jobs at Oak Ridge National Laboratory
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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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Code or skill level and estimating the duration of time (i.e. labor) for each task. Create the Bill of Materials (BOM) for the job plan and submits the Materials Request requisition. Write standard work
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documentation tools such as bar code readers and electronic data recorders). Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
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well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Experience with solid modeling and finite element analysis codes
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cases across the stack and are comfortable with end‑to‑end testing. You actively participate in GitLab workflows—creating and reviewing Merge Requests, providing thoughtful code reviews, and working with
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Requisition Id 16173 Overview: 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 challenges
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candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk
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experience, or a B.S. with 15 years relevant experience. Demonstrated experience engaging with U.S. Department of Energy (DOE) program offices and aligning work with their strategic priorities. Excellent
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of Tennessee faculty through joint research engagement and student mentorship. ORNL is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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environmental datasets for use in geospatial web applications. Collaborate with research scientists and stakeholders to integrate existing statistical models into application code and develop new features as