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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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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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14 Oct 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Physics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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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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progress and high-impact scientific publications in the areas of ultrafast and nonlinear optics. For more information, please send enquiry emails to Prof John Travers (j.travers@hw.ac.uk ). The application
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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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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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, including filament extrusion, compression molding, injection molding, and fused deposition modeling. This position requires the preparation of ISO/ASTM test specimens for mechanical (tensile and flexural