340 computer-science-intern-"https:" "https:" "https:" "UCL" "UCL" positions at Oak Ridge National Laboratory
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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 laboratory, ORNL has
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conducting a variety of experimental projects on irradiated materials and is located within the Materials in Extremes Section of the Materials Science and Technology Division at ORNL. A successful candidate
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. This position resides in the Nuclear Materials & Procurement Group in the Business Management Services Section, Research Reactors Division, Neutron Sciences Directorate at Oak Ridge National Laboratory. As part
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-procurement planning with internal customers, hosting pre-proposal conferences, facilitating management reviews, leadership of subcontract negotiations, participation on process improvement teams, award
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, and ORNL policies. Act as the primary point of contact for all functions related to each award. Coordinate award activities with internal and external stakeholders (Legal, Accounts Payable, DOE
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related to each award. Coordinate award activities with internal and external stakeholders (Legal, Accounts Payable, DOE representatives, etc.). Provide expert guidance on procurement risk, compliance, and
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Requisition Id 15723 Overview: The Manufacturing Energy Efficiency Research & Analysis (MEERA) Group within the Manufacturing Science Division (MSD) at the Oak Ridge National Laboratory (ORNL) is
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/Responsibilities: Provide engineering support for Cooling Systems equipment and projects. Perform hydraulic analysis using computational fluid dynamics (CFD) software to understand performance limitations in
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, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL
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in Computer Science, Data Science, Applied Mathematics, or a related field. Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or TensorFlow