174 evolution-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions at Oak Ridge National Laboratory
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Requisition Id 15764 Purpose The Glenn T. Seaborg Initiative (GTSI) of Oak Ridge National Laboratory (ORNL) is committed to enhancing and maintaining US capabilities in actinide science and technology by helping to attract, develop, and retain the workforce of actinide scientists to meet the...
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also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility. The Team: The Software Services Development (SSD) group writes and maintains large
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transformative solutions to compelling problems in energy and security. We are seeking a Technical Professional who will support the Disruptive Manufacturing Systems Development Group in the Manufacturing Science
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Requisition Id 15472 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel tensor network algorithms and their combination
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Scattering Division (NSD), the Instrument Development group in the Neutron Technology Division (both part of the Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL), and the Neutron and X
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fusion energy research and development. Leveraging recent growth in private investor interest in fusion development, this individual will work closely with the Fusion Energy Division Director and Private
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a variety of applications, from national security to life-saving medical treatments. ESED is the national steward for the research, development, and demonstration of centrifuge technology innovations
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integrate quality principles into the unique aspects of the research and development (R&D). Influence the prioritization and development of quality initiatives by maintaining a comprehensive understanding of
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Domestic Uranium Enrichment Centrifuge Experiment (DUECE) by technically leading the multi-disciplinary IPT’s responsible for research, development, and design of specific sub-systems within the enrichment
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expected to contribute to the development and application of advanced manufacturing simulations, and machine learning (ML) models relevant to additive manufacturing, virtual manufacturing, material