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PhD Studentship - Analysis and Optimization of Wound Field Synchronous Machine e-NVH for Vehicle Traction Applications This exciting opportunity is based within the PEMC Research Group at Faculty
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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
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of humans and other species. However, as with any new active ingredient, the optimal delivery to the target species is crucial for success. The packaging, stabilization, dispersion, application, and targeting
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optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and
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, rendezvous, and in-orbit operations, incorporating astrodynamics and systems design. The research will explore trajectory optimization, robust guidance, navigation and control systems, and simulation of in