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cognizant system engineer for the assigned HFIR plant system in the HFIR System Engineering Program and DOE O 420.1 for the hazard category 1 nuclear facility and shall be qualified as a HFIR System Engineer
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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 of addressing the nation’s
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the Manufacturing Process Engineering Group in the Enrichment Science and Engineering Division (ESED) within the Isotope Science and Enrichment Directorate (ISED) at Oak Ridge National Laboratory (ORNL). ESED serves
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Laboratory (ORNL). Major Duties/Responsibilities: Collaborate with a diverse team to bring complex engineering designs from conception through manufacture and use. Create engineering drawings and digital
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Requisition Id 15805 Overview: Oak Ridge National Laboratory (ORNL) is currently recruiting Active-Duty U.S. Military personnel for the DoD SkillBridge Internship Program. The program is 4-6 months
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Computer Science, Engineering, Project Management, or related field (or equivalent experience) and at
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. This position is part of the Enrichment Science and Engineering Division and serves the nation by advancing enrichment technologies and providing enriched stable isotopes products. We lead the science and
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student notifications as needed. Report on course student (Level 1) evaluations by reviewing evaluation data to identify trends, training effectiveness, and opportunities for continuous improvement, and
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domain teams. Basic Qualifications Bachelor’s degree and 3+ year’s experience in Geography, GIScience, Computer Science, Data Science, Statistics, Engineering, or a related field with a strong quantitative