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. This project uses crystal growth and physical property measurements to develop, understand, and control new and emerging materials. This position resides in the Correlated Electron Materials Group in
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Synthesis and Nanofabrication Section of the Center for Nanophase Materials Sciences (CNMS) in the Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). As part of our research team
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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to communicate research results through reports, publications and presentations. Experience in accelerator physics, including working in a control room, conducting accelerator-based experiments, and computational
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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computations relevant to the development of strategic nuclear performance codes for nuclear reactors. This position resides in the Radiation Effects and Microstructural Analysis Group (REMAG) in the Materials in
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computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
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companies participating in the DOE’s Better Plants program. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service
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resides in the Functional Atomic Force Microscopy (FAFM) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge
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objectives. Basic Qualifications: A Ph.D. in materials science, physics, chemistry, nuclear engineering, or related disciplines. Preferred Qualifications: Experience with ellipsometry Experience with data