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specialist facilities in digitalisation and process monitoring. Training & Development Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and
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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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, and computational biology. You will gain hands-on experience in plant disease phenotyping, genetic transformations, and high-throughput sequencing technologies (ONT, ATAC-seq, Hi-C, RNA-seq). You will
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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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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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Longitudinal, Multilingual, and Multi-format Investigation and Detection of LLM-Generated Disinformation School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof
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computer-based models of manufacturing process, allowing for analysis, optimisation and visualisation of operations before physical implementation. It is a sought after skill in many high-value manufacturing
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of floating offshore wind. Training & Development 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