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parametric reduced order models of operating wind turbines, information contained in their differential geometry and safe data-driven control/reinforcement learning tools jointly developed with the second PhD
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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of the mirrors in Wolter geometry, and, finally, the prototype neutron condenser module as fabricated by CHEXS. You will apply a diverse suite of experimental methods, including in-house X-ray reflectometry and
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computational methods for 3D anisotropic Electrical Impedance Tomography. This is a very challenging inverse problem in the intersection of mathematical analysis, geometry and computing that recently has achieved
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begin with designing appropriate device geometry employing a broad spectrum of analytical, semi-analytical, and numerical techniques. Based on the results of the design process, a device will be