320 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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Science, Computer Engineering, Computational Engineering, or a closely related field. At least 2 years of experience working with Linux-based systems; familiarity with core utilities and managed services such as
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Requisition Id 16064 Overview: The Power Systems Resilience (PSR) Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate (ESTD
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Division (MSD) of the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research team carries out high quality R&D focused on the polymer composite and advanced
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, engineers, and program managers to gather technical information and translate complex material into accurate, web-optimized formats. Draft and edit web content to ensure clarity, technical accuracy, and
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laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering
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to develop and apply interdisciplinary teamwork skills, as they will be expected to work with researchers in water resources engineering, computation, informatics, ecology, and environmental economics
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work closely with the ORNL Isotope and Enrichment Project Director and the Infrastructure Program Manager within ISED. ORNL is the largest DOE science and energy laboratory, conducting basic and applied
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Industrial Controls, Electrical or Electronics Engineering, Automation Technology, Computer Networking
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transformative solutions to compelling problems in energy and security. The Enrichment Science and Engineering Division (ESED) is seeking multiple Integrated Product Team (IPT) Leaders who will support the
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(ORNL). Work will involve significant collaboration with external researchers through the CNMS user program, requiring the ability to adapt experimental approaches to diverse research needs while