253 data "https:" "https:" "https:" "https:" "U.S" uni jobs at Oak Ridge National Laboratory
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Requisition Id 16017 Overview: 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 challenges
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cell processing equipment Prepare clear and accurate documentation (check sheets, data sheets, logs, forms) for any work done Keep work areas in a safe, clear, and orderly condition Perform other related
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workflows, and an increased understanding of lab standards and best practices. Leverage new trends, data, and AI to modernize the media relations function, the writing process used across ORNL for news
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and chemical purification techniques. Experience using glove boxes and/or hot cell manipulators for isotope production. Ability to interpret data from analytical methods such as gamma-ray spectroscopy
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with an emphasis in Business Administration, Information Systems, or other business-related areas and at least 2 years of experience in SAP. Customer service oriented. General troubleshooting experience
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. Process subcontractor construction submittals and Requests for Information (RFI’s) to ensure timely responses and response durations are upheld. Inspect and coordinate engineering inspections
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, band saw, etc.). Basic proficiency with Microsoft Office (Excel/Word) for data entry and logging. Special Requirements: Work involves various physical requirements and working conditions. As such, a pre
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business computer software (e.g., Microsoft Office applications, especially Word and Excel; Adobe Acrobat) Advanced knowledge of ORNL’s business lines and sponsor requirements Specialized skills, knowledge
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data connectivity. This role ensures that all changes to control configurations, communications pathways, or system integrations are made in accordance with Industrial Control System / Operational
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, supported by: Multiscale modeling (material (molecular) → process → manufacturing (scale up)) Data-informed experimentation Selective use of AI/ML and big-data techniques where they add real value