74 computer-science-"https:" "https:" "https:" "https:" "https:" "https:" "Inria" Postdoctoral positions at Oak Ridge National Laboratory
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Heterostructures Group in the Foundational Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of our
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Materials Science and Technology Division (MSTD) within the Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop processes for
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(ESMG) to work on the Terrestrial Ecosystem Science Scientific Focus Area (TES SFA). The successful candidate will contribute to the development and evaluation of the Energy Exascale Earth System Model's
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Requisition Id 16569 Overview: The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate
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chemical engineering, chemistry, environmental science and engineering, materials science and engineering or a related field completed within the last 5 years. Experience in chemical separations
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Requisition Id 17151 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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Requisition Id 17075 Overview: We are seeking a highly motivated Postdoctoral Research Associate in Organic Chemistry and/or Critical Materials Separation Science to develop next-generation
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. This position resides in the Multiscale Modeling and Materials by Design (M2MD) Group within the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge
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Design Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). The selected candidate will work with multiple other
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work with Dr. Jeffrey Warren and Dr. Lianhong Gu and collaborate with researchers in the ORNL Terrestrial Ecosystem Science (TES) Scientific Focus Area (SFA) to integrate experimental measurements and