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part of our research team, you will work in a highly collaborative environment with a broad spectrum of expertise, including quantum transport, device fabrication, sample growth, angle-resolved
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process-based modeling of hydrologic or land surface processes. The WSMG group develops advanced surface/subsurface integrated hydrologic and reactive transport models, works with other groups to compare
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framework for driven and open quantum systems. Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems. Experience in analyzing data from
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, radiological health, medical physics, nuclear engineering, applied mathematics or a closely related discipline) Sound foundation in radiation transport, behavior of radionuclides in biological systems, and/or
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), Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of the team, you will carry out in-situ studies of droplet interface bilayers (DIBs) using fluorescence microscopy techniques
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. Related fields, including hydropower and power grid modeling, hydraulic engineering, and sediment transport. The successful candidates must demonstrate an ability to work independently, evidenced by
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conceptualizing and performing research on the variables associated with nuclear fuel-cycle processes; the fate, transport, dispersion, collection, and measurement of such variables; and the analysis of these data
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, Research Accelerator Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The successful candidate will work closely with SNS research and operations staff to design and carry
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iterative solvers. Successful applications will work in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced
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characterization, mechanical testing, 3D microstructural analysis, finite element simulations, atomistic modeling, and thermal transport measurement techniques to advance mechanistic understanding and predictive