18 operations-research-postdoc Postdoctoral research jobs at Oak Ridge National Laboratory
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, as well as conduct their characterization. The project is highly collaborative, and the postdoc will work with other polymer scientists, physicists, computational scientists, as well as neutron
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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, and physics based computational modeling of joining processes or performance of welded structures. As a postdoc, you will conduct research and development at the forefront and often at the intersection
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research will involve Python scripting within the Thermo Fisher AutoScript environment to control operation of the microscope beam, stage, detectors, and spectrometers, with a particular emphasis on annular
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at Oak Ridge National Laboratory (ORNL). As part of our research team, you will work in a highly collaborative environment with a broad spectrum of expertise, including epitaxial synthesis, twisted
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creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing
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techniques; and (3) developing advanced methods for inelastic neutron scattering data analysis and workflow automation. The postdoctoral researcher will work in close collaboration with Dr. Raphaël Hermann and
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fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Postdocs: Applicants cannot have received their Ph.D
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○ Research approach ● Proposed Seaborg Researcher candidate ○ Strength of candidate Successful candidates must be approved by the ORNL Postdoc Program before receiving funding and performing research. Final
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research using atomic force microscopy Work as part of a dynamic team conducting research that advances and develops cutting-edge characterization capabilities to improve our understanding of nanomaterial