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submarine landslides interact with offshore infrastructure through advanced computer and physical modelling. The student will develop numerical simulations to study how seabed materials move, how
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Mitigating Healthcare Misinformation: Fact-Checking Spoken Medical Claims Using Textual Evidence (S3.5-COM-Zhang) School of Computer Science PhD Research Project Competition Funded Students
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spanning mathematics, engineering, and physics. You will also collaborate closely with an ongoing PhD project in MAC focused on improving computational models of AGS flows. The project includes training in
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to access a wide range of opportunities and events. It also plays a key role in our reporting, helping to drive data-driven decision-making across our programme of engagement and fundraising activities. We
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cost can be integrated to create a composite that reduces our reliance on critical REEs without sacrificing efficiency. Your research will be at the forefront of computational materials science. You will
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significant global challenges. This project tackles this problem with an innovative, dual-pronged approach. This project will use a high-throughput computational search for entirely new magnetic materials
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Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing
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translational potential for improved patient outcomes in wound healing. Institutional entry requirements for PhD: For entry into this PhD programme you should hold, or expect to hold, an honours degree in a
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Parliament as the locus of representative democracy, under the supervision of Professor Felicity Matthews. Working alongside Professor Matthews, the postholder will undertake a programme of research that
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that any future Technical Training Programme meets Faculty and School technical support requirements. ● Maintain a culture of customer service excellence and professionalism within the areas