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useful background for candidates would include continuous-time stochastic processes, martingales, Brownian motion. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s
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. The broad aim of the PhD research is to train the student with skills to investigate self-assemblies of lipids and biocides (cationic surfactants) and their cross-assembly processes, and identify how
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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, our societies and our health. To celebrate our bicentenary and drive discovery and innovation in bioscience, biomedical and health research, we are proud to announce the Faculty of Biology, Medicine and
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is fully funded for home students or EU students with settled status. We are seeking a motivated and independent researcher with a background in biomedical engineering, biomaterials, tissue engineering
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands of diverse industrial processes. While mono-material felts offer simplified recyclability, blended
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be used to specifically identify nuclear material but are susceptible to self-shielding where the material of interest attenuates its own specific signals creating the risk of misleading results
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for over a century, the fundamental physio-chemical processes governing tree initiation and propagation remain inadequately understood, representing a significant scientific and engineering challenge
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to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect