255 data "https:" "https:" "https:" "https:" "University of Copenhagen" positions at Oak Ridge National Laboratory
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Energy Q clearance and Sensitive Compartmented Information (SCI) access. This position is designated as a Workplace Substance Abuse Program (WSAP) position, which requires passing a pre-placement drug test
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documentation tools such as bar code readers and electronic data recorders). Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
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Requisition Id 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
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solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high
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through multidisciplinary research, data analytics, modeling, engineering design, decision support, and visualization. The group develops innovative tools and technologies to enhance the efficiency
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Fuel Fabrication (PFF) Group as a highly motivated individual with expertise in applying advanced characterization technique and data analysis skills to coated particle fuels. The PFF group is dedicated
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, engineers, and program managers to gather technical information and translate complex material into accurate, web-optimized formats. Draft and edit web content to ensure clarity, technical accuracy, and
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Requisition Id 16004 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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Requisition Id 16005 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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using approved technologies and systems to manage training data, records, and reporting, ensuring accurate and timely submission for course credit. Forecast learner demand and assist with scheduling