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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
numerical approaches (e.g., Large Eddy Simulation, Direct Numerical Simulation, multi-scale process modeling) and laboratory wave tank experiments to explore turbulent seawater dynamics adjacent to ice
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component of the position. The fellow will have access to newly developed human laboratory research space (e.g., simulated bar, smoking rooms) for data collection for clinical and experimental studies, and
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. Experience with computational and theoretical simulation and modeling techniques in high-energy physics, such as Monte Carlo event generators. Proficiency in scientific computing and numerical simulation
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-on experience with growth reactors and/or clean-room environment. - Knowledge of structural and/or optical characterization of semiconductors. - Knowledge of numerical simulations will be useful though not
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding
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theoretical models and numerical simulations, which include astrochemistry and radiative transfer codes that bridge observations, as well as cosmological N-body codes including neutrinos. The CompAS and CHARMS
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for Fast Radio Bursts. The instrumentation group develops state-of-the-art instruments for telescopes from radio to infrared/optical wavelengths. The Theory Group develops theoretical models and numerical
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polaritonic waveguides and cavities, and will contribute to the theoretical (i.e. analytical) and numerical simulations of the GaN architectures in collaboration with the theory groups in the consortium. In
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-sectional modelling Your overall focus will be to develop and apply advanced methods for inflow reconstruction and reduced-order modelling, with direct application to aeroelastic simulations and lidar