183 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run large ablations, and translate methods
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on qualifications, relevant experience, skills, and education. NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large
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classified research and development to support data analysis. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research
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regulations for domestic and international shipments of hazardous and radioactive materials in the most efficient and cost-effective manner while maintaining compliance Review and interpret analytical data
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exploiting multiple diagnostics, data-driven/ML/AI analysis techniques, and pellet fueling modeling validation. Support and upgrade ORNL diagnostic and pellet injector hardware located at W7-X such as
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radiological facilities. Utilize Windows based personal computers, instrumentation operation, data reporting, analytical calculations, and sample management. Ensure compliance with environment, safety, health
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project schedule, Coordinate technical issue resolution with design team, Design and Project Management, and others as appropriate, Conduct Design Reviews to Ensure documents (drawings, specifications, data
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identifying cells, using microscopic techniques and procedures. Performing molecular diagnostic testing. Preparing reports of technological findings by collecting, analyzing, and summarizing information
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science
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determinations. SYSTEM ANALYSIS Analyzes and trends results of preventive and predictive maintenance data. Analyzes equipment performance history. Ensures compliance with environment, safety, health, and quality