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Old Dominion University Research Fountation | Norfolk, Virginia | United States | about 13 hours ago
collocation schemes for simulation of 3-D compressible viscous flows on unstructured grids. Our department has a history of producing exceptionally successful, independent, and productive postdocs and PhD
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has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Breeds
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and
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of compressible flow regimes, including supersonic and hypersonic flows, as demonstrated by application materials. Familiarity with machine learning or data-driven modeling approaches in fluid dynamics, as
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, Merced is looking for an ambitious Postdoctoral Scholar to carry out a project that leverages compressed sensing to accelerate proteomics research. The position is NSF-funded, and the scholar will work
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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Posting Information Posting Number FAE1959 Advertised Title Post-Doctoral Fellow Campus Location Main Campus (Memphis, TN) Position Number L22894 Category Full-Time Faculty Department Mechanical
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scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning