42 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Postdoctoral positions at Oak Ridge National Laboratory
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Development (NFD) Section within the Nuclear Energy and Fuel Cycle Division. The PFF Group is a global leader in coated particle fuel research for advanced reactors (e.g., tristructural isotropic (TRISO) coated
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for isotopic analysis and assays, supporting critical safeguards, nonproliferation, and nuclear programs. The Postdoctoral Research Associate will play a vital role in developing methodologies for nuclear
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, water, and material efficiency in the manufacturing sector and develop, deploy, and promote impactful practices, tools, and technologies. You should have a strong background in mechanical engineering
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novel quantum sensing solutions to problems of national interest and support the research and development necessary for the practical implementation of those solutions Interpret, report, and present
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. Compose technical reports, create presentations, and publish peer-reviewed papers Support the development of new resources, training, and tools to support companies participating in the DOE’s Better Plants
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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Requisition Id 14893 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as
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a variety of projects involving internal and external dosimetry and radiation risk analysis. The CRPK provides technical assistance to U.S. federal agencies involved in development of federal guidance
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transformative solutions to compelling problems in energy and security. Within ORNL, the Building Envelope Materials Research (BEMR) Group develops and deploys affordable building envelopes for new construction
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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