46 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory
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also handle maintaining overall cognizance of assigned HFIR structures, systems, and components (SSCs) and provide systems engineering support for operations and maintenance. Major Duties
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characterizations. Experience with user facilities. Data analysis of structural, electronic, magnetic, and topological properties. Work with others to maintain a high level of scientific productivity. Publish
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). Provides quality customer service to both internal and external customers. Conducts market research for potential sources of services or supply. Determines appropriate contract type and the structure
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for extreme environments, with an emphasis at the intersection of fundamental materials science of radiation effects and defect-deformation interactions, fission and fusion structural materials, nuclear fuel
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Postdoc Research Associate- Atomic-Resolution Optical Spectroscopies w/Scanning Tunneling Microscopy
imaging and spectroscopy of structural, electronic, and optoelectronic properties in low-dimensional materials and their heterogeneities. This position offers an exceptional opportunity to conduct research
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
-state physics, ferroelectrics and/or 2D materials. Strong background in developing and/or applying materials simulation methods, such as atomistic simulations using electronic-structure and/or machine
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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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environment in the mechanical, electrical, or operations field. Familiarity with maintenance activities in a nuclear reactor operating environment. HFIR facility knowledge. Experience in construction management
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data pipelines. Ensure data is structured, accessible, and aligned with scientific computing workflows. Promote best practices in data governance, metadata standards, and secure data handling across
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and