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Program and specifically associated with the rapidly growing field of stable isotope enrichment. Major Duties/Responsibilities: Develop, research, and execute methods of processing materials unique
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require passing a pre-placement drug test and participation in an ongoing random drug testing program. Preferred Qualifications: Associate/bachelor’s degree in business management, liberal arts, or other
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have high level of organization and computer skills, working knowledge of PC, Microsoft Office (Word, PowerPoint, Excel, Access, Adobe Acrobat). Motivated self-starter with the ability to work
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confidentiality on control system computers. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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Requisition Id 16212 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Digital Media Specialist to support the Biological and Environmental Systems Science Directorate (BESSD). This position resides within the Digital Communications Group in the Communications and Community Engagement...
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proactively as part of a dynamic, cross-functional team developing and overseeing a governance framework to ensure continuous improvement in research security program compliance. Maintain assurance mechanisms
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systems against adversarial threats. Leveraging ORNL’s world-class high-performance computing (HPC) infrastructure—including Frontier, the world’s first exascale system—CAISER conducts end-to-end AI
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high level of scientific productivity. Ensuring compliance with environment, safety, health, and quality program requirements. Maintaining a strong commitment to the implementation and perpetuation
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Requisition Id 15859 Overview: We are seeking a Group Leader (GL) for the HPC Storage and Archive group in the National Center for Computational Sciences (NCCS). Selection will be based
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the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict