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computational fluid dynamics (CFD) simulations of blood flow through arteries and develop a cutting-edge super-resolution framework using convolutional neural networks (CNNs). The ultimate goal is to vastly
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This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to...
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of Manchester with forging simulation, both experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will
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for device functionality and reduced electrical current requirements, making them highly promising for energy efficient computing and storage technologies. This PhD project will provide novel insights
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in Electrical Systems at the High Voltage Group at University of Manchester, you will be responsible for undertaking the relevant laboratory based and computer based research under the guidance of Prof
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programme as part of BioProcess, the Biocatalysis and Protein Engineering Centre for Sustainable Synthesis (bioprocess-idla.ac.uk), which has strong partnerships with the chemical industry. They will thus
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computer programming specially for solving partial differential equations is desired. To apply please contact the main supervisor Masoud Babaei . Please include details of your current level of study
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programme with 18 industrial partners. During the first months of this PhD, training will be provided UK experts in radiation protection, environmental assessment and radioactive waste management, nuclear
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Application deadline: All year round This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805...
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty