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with data-based models and numerical dynamo simulations. The successful candidate will contribute to studies of time-averaged geomagnetic field morphologies and core dynamics during transitional events
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
requirements. This can lead to expensive, time-consuming redesigns if requirements are not met. At present, there exists no widely-practiced quantitative methodology for modeling the system and using it to
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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%) Test a tunable-stiffness model plant in the Environmental Flows Water Tunnel in order to determine model improvements needed and collect preliminary data on the variation of sediment transport and near
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- Develop original numerical methods for facility simulation in presence of expansion waves - Demonstrate improved estimates of rate constants for two-temperature models - Contribute
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary research questions. The successful candidate will also have the
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Qualifications PhD in the field of Planetary Science, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming. Experience with modelling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
with numerical modeling (e.g., LES, DNS, or CFD) and/or laboratory experiments in stratified or rotating fluids. Ability to work both independently and collaboratively as part of an interdisciplinary
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’ (PHOENIX), led by Associate Professor Thomas Aubry (University of Oxford). Using a combination of laboratory experiments, field work and numerical modelling, PHOENIX aims to improve our understanding