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prosthetics. The project will be supervised by Prof. Sarah Cartmell, Prof. Julian Yates, and Dr. Jose R. Aguilar Cosme at the University of Manchester. While prosthetic materials continue to evolve, current
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vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
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This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers the cost of tuition fees and a standard tax-free stipend (based on the UKVI rate which is
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of the studentship is to measure and model the optical properties of facial skin at different wavelengths and angles and to relate the results to other work by the research team on the clinical measurement and
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at the University of Manchester's Hydrodynamics Lab, https://www.scieng.manchester.ac.uk/tomorrowlabs/manchester-hydrodynamic-lab/ . This research aims to provide a comprehensive characterisation of offshore
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failure before components are built? We invite applications for a fully funded PhD project to develop microstructure-aware simulation models for fatigue and damage prediction in turbine wheels. Working in
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, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
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transformer in operation. On the other hand, the Total Cost of Ownership (TCO) model is widely used to measure the whole lifetime cost of the transformer. In addition to the capital cost, cost of losses
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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(ACED) funded project under the Inequalities theme. ACED partners include the University of Cambridge, University of Manchester, UCL, DKFZ, OHSU, and Dana-Farber Cancer Institute. Main duties and