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of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS of objects relevant to AWE’s mission. Applicants should have, or expect to achieve, at least a 2.1 honours
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. Chris Hardacre within Catalysis and Porous Materials Group in the Department of Chemical Engineering at The University of Manchester. Overall, this project represents an interdisciplinary effort at
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consider realistic ocean extremes which can be complex and highly nonlinear. However, linear models are often used for design due to their low cost, resulting in uncertainty. This project will develop AI
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