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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
will be conducted collaboratively with other scientists within the Neutron Scattering Division and Materials Scientists in Materials and Technology Division ORNL, and materials scientists from Argonne
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methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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, analyzing data from complementary techniques such as scanning microwave impedance microscopy, Kelvin probe force microscopy, and cathodoluminescence, as well as collaborating with theorists for data-model
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research results in professional journals and at scientific conferences Collaborate with other group scientists and technical personnel for the development of new research ideas Deliver ORNL’s mission by
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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
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. You will also have the opportunity to collaborate with in-house building scientists on cutting-edge research in areas such as building envelopes, HVAC systems, and building energy modeling. Major Duties
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techniques (such as, large language models) in the neutron powder diffraction data life cycle. This work will be conducted collaboratively with other scientists within the Neutron Scattering Division and
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: Work with a unique team of scientists seeking to advance scientific understanding of structural and energetic aspects of ligand binding to target ions in bulk aqueous and nonaqueous environments
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is