264 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" uni jobs at Oak Ridge National Laboratory
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on either a large-scale scientific research and development project or large scientific instrument project. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy
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existing various U.S. Government regulations, Intelligence Community and DOE regulations and directives, while maintaining active engagement supporting other team's assigned portfolio of programs. Department
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software development frameworks and tools. Define and implement best practices and standards within the organization. Analyze, triage, and respond to application, system, and network events. Install
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software development frameworks and tools. Define and implement best practices and standards within the organization. Analyze, triage, and respond to application, system, and network events. Install
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associated Research, Development, and Pilot Production activities. This position resides in the Isotope Enrichment & Facilities Group within the Quality Assurance Division (QAD), Environment, Safety, Health
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research and development organization with 140 scientists and engineers, a $70M annual budget, and more than 70 years of achievements in local, national, and international environmental research. Our vision
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preparation of radioisotopes to support R&D and production efforts Provide support to research and development, testing, and field application of equipment and research and development of processes
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Requisition Id 16013 Overview: We are seeking a Nuclear Quality Representative who will focus on implementing Quality program requirements in support of Research and Development (R&D) and Pilot
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economic benefits for the nation. Our partnerships with U.S. Department of Energy (DOE) laboratories, universities, and industry enable us to accelerate science and innovation. The Office of Research
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment