30 condition-monitoring-machine-learning Postdoctoral positions at Oak Ridge National Laboratory
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) at Oak Ridge National Laboratory (ORNL). This project will be focusing on the development of advanced Artificial Intelligence (AI)/Machine Learning (ML) tools for the measurements of 3D tensorial strain in
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industrial leadership. Develop monthly program impact reports to share the status and findings of the program with DOE program manager. Deliver ORNL’s mission by aligning behaviors, priorities, and
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capabilities in microscopy platforms for the CNMS research and user communities. Work with ORNL’s 3D printing and machining facilities to ensure the design and fabrication of high-quality, reliable assets
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technologies. Measure plant phenotypes in greenhouse and field conditions. Assist in sample preparation, extraction, and other laboratory activities. Participate in regular cross-functional team meetings
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
experiments in the physical, chemical, materials, biological and medical sciences. HFIR also provides unique facilities for isotope production and neutron irradiation. To learn more about Neutron Sciences
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: The Department of Energy’s Manufacturing Demonstration Facility and the Systems Automation and Monitoring Research (SAMR) Group at Oak Ridge National Laboratory (ORNL) seeks a capable researcher to conduct
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analytics, and machine learning, the Grid Interactive Controls group delves deeply into understanding intricate grid-edge operations. Researchers are dedicated to laying the groundwork for optimal X2G
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industrial radioisotopes. These include several alpha/beta emitting radioisotopes either deployed or under clinical trial for treatment of cancer (e.g., Ac-225, Ac-227, Ra-224/Pb-212, and W-188); heavy
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/Responsibilities: Collect and analyze data from past weather-related natural gas supply disruptions and study their impacts. Perform modeling and simulations to assess system performance under cold stress conditions
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the Environmental Risk and Energy Analysis Group. The candidate will work with a multi-disciplinary group of experts in economics, engineering, computer sciences, and physical sciences on the economics and policy