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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian
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. The project activities will involve the development of the theory and implementation of the advanced mechanics and numerical models as well as constitutive model calibration and validation based on physical
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, the project will leverage a combination of recently collected in-situ observations from MACCESS, high-resolution satellite data, and numerical simulations. The core modeling tool will be the Regional Ocean
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power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
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on the nature of the visible and invisible matter in the Universe, to detailed theoretical and numerical studies from planets to galaxies, and linking them together cohesively. We expect successful applicants