222 computer-science-programming-languages-"UCL"-"UCL" positions at Oak Ridge National Laboratory
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in the Manufacturing Demonstration Facility (MDF - https://www.ornl.gov/facility/mdf/ ) where it focuses on designing, developing, and deploying advanced machine learning and decision science
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and stakeholders to develop impactful research programs. Publish research findings in high-impact journals and present at scientific meetings. Contribute to proposal development and strategic program
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to develop impactful research programs. Publish research findings in high-impact journals and present at scientific meetings. Lead and contribute to proposal development and strategic program growth. Mentor
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impactful research programs. Publish research findings in high-impact journals and present at scientific meetings. Contribute to proposal development and strategic program growth. Promote a culture of safety
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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 most pressing
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Requisition Id 15105 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, business management, information
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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science
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. This position will support several programs including the Department of Energy Office of Nuclear Energy Advanced Fuels Campaign and Nuclear Science User Facility Program on irradiation and post irradiation
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program