342 information-security "https:" "https:" "https:" "https:" "Robert Gordon University" positions at Oak Ridge National Laboratory
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: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license. Security, Credentialing, and
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(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will
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Requisition Id 15094 Overview: Oak Ridge National Laboratory is seeking a Postdoctoral Research Associate who will focus on material property testing, analysis, and modeling of reactor isotope
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Requisition Id 16147 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Group Leader for the Advanced Engineering Technologies (AET) Group within the Nuclear Nonproliferation Division (NND
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combination of education and experience may be considered. Preferred Qualifications: Experience in DOE safeguards and security operations is desired, as well as database management. Excellent human relations
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Qualifications Familiarity with relevant DOE regulations, applicable safety or security standards, and experience in a major experimental research facility or equivalent setting are highly desirable. Preference is
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of Tennessee faculty through joint research engagement and student mentorship. ORNL is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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levels of management. Assist with other tasks as needed or as assigned by management. Ensure systems are configured and maintained per cyber security common control requirements so that accreditation is
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senior engineers and other IT and IA professionals to ensure the confidentiality, integrity, and availability of network services in compliance with government security regulations. As part of our team
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engineering. This position seeks a candidate with demonstrated experience in applied machine learning and computational data science for complex, safety-critical systems, with an emphasis on time-series anomaly