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related to testing electrical machines, drives and materials are required.? The PEMC research group has grown exponentially and now has over 200 members, 24 academics and circa 130 PhD students, researchers
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
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quantitative methods, data skills and machine learning methods for effectively handling micro-level panel data, providing valuable skills for future careers. A Masters degree is not a prerequisite. Undergraduate
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radial, transverse and axial machines. The PEMC has undergone a significant period of growth and now has over 200 members, with over 24 academics (including 9 full professors) and approximately 130 PhD
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the areas of: Sustainable/resilient chemical supply chains Artificial Intelligence /Machine Learning for the prediction of bulk properties in performance molecules and materials Synthetic electrochemical