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The School of Science and Technology, with its industrial partner 4BetterDevices GmbH, offers a studentship for the development of machine learning methods for feature selection and sensitivity
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reservoir computing exploits random fixed networks to transform data to simplify training. By creating structure within these networks, much like the natural structure in the brain, different properties can
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their electricity sectors. These supportive policies exhibit diverse structures, with advocates asserting their indispensability in nurturing the development of emerging renewable industries, propelling technological
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been done with the current wind technology developed in Europe. At present, future floating wind support structures are expected to be one of three concepts: spars, tension-leg platforms or semi
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generation of exascale computing, including development of tools for analysis of large data sets. The methods used for the research will be direct numerical simulation, using multi-block structured grids, and
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Would you like to continue your academic journey with a PhD in Aerospace Engineering? A 3.5-year fully funded PhD studentship for UK home students and EU students with settled status is available in
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principles governing bio-inspired fluid-structure interaction. Requirements: The ideal candidate should have a first-class undergraduate or master's degree (or equivalent) in Mechanical Engineering, Aerospace
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cadmium telluride solar cells. We will achieve this by improving our understanding of the structure and electrical properties of defects in polycrystalline solar cells. We will use new materials for buffer
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contained within a porous structure, through the application of a high electric field. As well as extracting the ions, the electric field accelerates them to a high velocity, resulting in a high specific
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) and fluid-structure interaction (FSI) with patient-data to provide insights into the development and progression of adverse outcomes associated with TAVI and valve-in-valve procedures, including