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knowledge-based tasks in a version-controlled environment. Strong strategic planning, community engagement, communication, and public presentation skills. Prepare technical solutions, reports, and visuals
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) Fixed-effects panel models Matching methods (PSM, CEM, nearest-neighbor) Regression-based normalization Longitudinal and cross-sectional data analysis. Experience working with large administrative
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, or related national security mission areas. Experience translating model output into decision-relevant products for analysts, sponsors, or policy audiences, including interactive visualization or exploratory
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will aid the research staff in understanding the synergistic effects of various degradation
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to support the design and deployment of advanced nuclear reactors. Work effectively individually and within a team to meet the requirements of projects. Communicate effectively the work performed through
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languages Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL) Experience working on high-performance computing (HPC) systems
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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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for this candidate are between two larger efforts in the laboratory. The first effort is in identification of cost-effective technologies (both emerging and at industrial scale) for critical minerals recycling from
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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding