80 educational-technology-"https:"-"https:"-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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, Educational Assistance, Relocation Assistance, and Employee Discounts. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We
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Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and
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, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. This position will remain open for a minimum of 5 days after which it will close when a
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the Nuclear Energy and Fuel Cycle Division, Fusion and Fission Energy and Science Directorate at Oak Ridge National Laboratory (ORNL). The FCCI Group applies modern materials science to design, develop
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workflows. The successful candidate will develop novel AI methods that integrate scientific knowledge, simulation, experimental data, and large-scale computing to achieve measurable AI advantage in scientific
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the area of life cycle energy and cost assessments for conducting manufacturing technology assessments Preferred Qualifications: An educational background in sustainable manufacturing technologies with
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature
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on modern accelerators. Sparse and constrained tensor decompositions — CP- or Tucker-type factorizations, constrained least-squares solvers, or scalable tensor kernels. GPU performance engineering — CUDA/HIP
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Requisition Id 17067 Overview: For this role, we are seeking an enthusiastic postdoctoral researcher to either refine or develop their expertise in composites manufacturing and characterization. As
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targeted at the key DOE Office of Science missions. Major Duties/Responsibilities: Work closely with ORNL researchers in using the resources of the OLCF effectively and efficiently Develop and port scalable