248 computational-physics-"https:"-"https:"-"https:"-"https:"-"University-College-Dublin" positions at Oak Ridge National Laboratory
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), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL) and is supported by the Quantum Science Center, a Department of Energy (DOE) National Quantum Information Science Research Center
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to communicate research results through reports, publications and presentations. Experience in accelerator physics, including working in a control room, conducting accelerator-based experiments, and computational
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Requisition Id 15537 Overview: We are seeking a Postdoctoral Research associate in computational nuclear physics. This position focuses on nuclear theory with an emphasis on nuclear structure and
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measurements of liquid metal flows. Knowledge of plasma physics codes, such as M3D-C1 and SOLPS and familiarity with computations of open-surface flows (Level-set, Volume of fluid method) is a plus. Working
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Requisition Id 15728 Overview: We are seeking a Group Leader for Accelerator Physics (AP) who will focus on executing an R&D portfolio advancing the state of the art in the control, simulation and
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Program (DOE IP) to advance the chemical processing of unique f-element isotopes, including Cf-252, Bk-249, Es-254, Fm-257, and Pm-147. A core focus of the DOE IP is to improve and develop novel chemical
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.) to enable real-time process monitoring of the Directed Energy Deposition (DED) printing process. A background in sensors, instrumentation, and data analytics is preferred. Strong communication and program
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transformative solutions to compelling problems in energy and security. The Enrichment Systems Engineering Section is seeking a Process Design Engineer who will support the Enrichment Science and Engineering
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in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
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Requisition Id 15635 Overview: We are seeking a Research Scientist who will support a growing portfolio of research in cutting edge physics-based machine learning, geophysical modeling, spatial and