277 computer-"https:" "https:" "https:" "https:" "U.S" uni jobs at Oak Ridge National Laboratory in United States
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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 of Energy (DOE) Office of Science national
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program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80
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Basic Qualifications: A PhD in Mechanical Engineering, Computer Science, or a related field Published technical work in journal articles Presentation experience at conferences Preferred Qualifications
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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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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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: Active DOE Q clearance Successful completion of the U.S Naval Nuclear Propulsion Program Experience with DOE O 422.1, Conduct of Operations Experience with DOE safety, security, and regulatory requirements
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Qualifications: Active DOE Q clearance Successful completion of the U.S Naval Nuclear Propulsion Program Experience with DOE O 422.1, Conduct of Operations Experience with DOE safety, security, and regulatory
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require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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Program requirements to maintain accountability and integrity of ORNL locking systems as well as compliance with applicable DOE Orders. This position resides in the Physical Security Team in the Security
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Ridge National Laboratory. The SDS Group consists of researchers focused on delivering computational solutions for the study of complex engineered systems using scalable architecture-aware algorithms