340 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Oak Ridge National Laboratory in United States
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Defense CI Agent Course DOD Advanced Foreign CI Operations Course U.S. Army CI Special Agent Course AFOSI/NCIS CI Investigations Course Experience living/working overseas Experience in intelligence/security
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relevant experience, or a B.S. with 15 years relevant experience. Demonstrated experience engaging with U.S. Department of Energy (DOE) program offices and aligning work with their strategic priorities
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quality. Familiarity with uncertainty, data limitations, and bias in population and demographic modeling and in applied geospatial decision-support contexts. Active or eligible U.S. security clearance
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Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A
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require passing a pre-placement drug test and participation in an ongoing random drug testing program. Visa Sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department
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, integration, verification & validation, sustainment). This position resides in the Support Services & Isolated Environments group in the Research Computing division of the Information Technology Services
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Requisition Id 16033 Overview: The U.S. Department of Energy plans to build a Radioisotope Processing Facility (RPF) at Oak Ridge National Laboratory (ORNL), which will transform U.S. capability
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qualified candidates to fill a researcher position. The work in this group supports the U.S. DOE’s Office of Geothermal, Building Technologies Office, and other customers. Major Duties/Responsibilities
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highly qualified individuals to play a key role in improving the security, performance, and reliability of the NCCS computing infrastructure which supports multiple highly ranked Top500 Supercomputers
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks