290 engineering-computation "https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
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) testing designated position. WSAP positions 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
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Qualifications: An M.S. in electrical engineering with a focus on power electronics applications for the grid Experience related to designing and controlling power electronic systems. Experience with power
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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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treat one another, work together, and measure success. Basic Qualifications: BS degree in engineering, computer science, or a related field with a minimum of 8 years of relevant experience. An equivalent
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or other large research organizations. Ability to interpret engineering drawings and technical design documentation. Demonstrated ability to manage multiple research activities and adapt to evolving program
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Requisition Id 16169 Overview: The Environmental Sciences Division (ESD) of Oak Ridge National Laboratory (ORNL) has an opening for a Data Systems Software Engineer II, in its Earth Sciences
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Requisition Id 16097 Overview: We are seeking a Superconducting Magnet and Cryogenic Engineer to support superconducting magnet testing and development as it pertains to fusion and other high field
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, computer engineering, computer science, computational science, or a closely related field. Minimum of two years of post-Ph.D. experience Strong record of impactful research aligned with one or more of the
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Requisition Id 15989 Overview: We are seeking a Reliability Engineer who will focus on developing, implementing, and improving a reliability and asset management program for predictive operations