192 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory in United States
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overhead cranes, forklifts, and other industrial equipment. Prepare clear and accurate documentation (check sheets, data sheets, logs, forms) for any work done. Assist in the removal, inspection, segregation
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, health, and quality program requirements. Coordinate project meetings and documentation including Activity Hazard Analyses, work permits, requests for information, submittals, and scope changes between
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will have primary responsibility for materials testing, examination, and data analysis activities supporting nuclear materials research programs, as well as for maintaining experimental equipment and
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, industrial piping design, and utility systems. Preferred Qualifications: Professional Engineer (PE) licensure. Must demonstrate a strong dedication to customer service. Must have strong computer skills and
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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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continuity of operations by managing urgent matters, prioritizing tasks effectively, and exercising sound judgment under pressure. Exercise discretion when handling sensitive or confidential information
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manufacturing, toolpath generation, machine tool operation, and data analysis. As part of this role, you will be tasked to lead the management of project timelines, troubleshoot equipment for routine maintenance
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of evaluating lowest price technically acceptable offers. Procurement evaluation system requires the ability to assemble information provided by evaluation team members including legal, compliance, cost/price
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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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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