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structure, variational structure, and symmetries, data-driven techniques to solve partial differential equations (pde) have emerged. Quantifying model uncertainty of data-based predictions is crucial
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realistic timescale for their development. This PhD studentship is under the supervision of Dr Jacqueline Edge (j.s.edge@bham.ac.uk) and based in the School of Metallurgy and Materials at the University
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for the prevention of IAI. The person taking on the project will need to work closely with the clinical teams and the patients and to do laboratory and computer-based work. A clinical qualification is not a
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meeting these needs, this PhD project will involve the research and development of new computational technologies, based on the boundary element and finite element methods, in a high-performance computing