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. Recent work at Loughborough has discovered that current state-of-the-art tyre friction modelling approaches provide friction estimates that are highly sensitive to uncertainties in model inputs, such as
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University. The project is focused on applying state-of-the-art tools and technologies to learn how inflammatory signals traverse the blood-brain-barrier and contribute to neurodegeneration in cerebrovascular
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support and policy literature is undertaken, concerning perspectives of infrastructure, sustainability-focused education and funding. Following this, an investigation of regional support and the emergence
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reported in the literature and done within our groups, the successful candidate will carry out an extensive review of various business models, in particular those developed in the biorefinery industry in
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Supervisory Team: Richard C. Knighton PhD Supervisor: Richard C. Knighton Project Overview The aim of the project is to work on state-of-the-art heteropolymetallic architectures (polynuclear
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are been established in the literature, most proposals are theoretical and require large quantum key distribution networks or a new build-up of quantum-resistant blockchain networks. These methods are not
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that leverage generative AI for dynamically generating and adapting content to meet the needs of individuals with LD. Project objectives: Complete an extensive literature review to understand existing knowledge
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invasive species and waste materials. Building up from previous studies and analyses reported in the literature and done within our groups, the successful candidate will carry out an extensive review
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include (but are not limited to): The role of creativity and art in mental health care. The cultural legacy of Mary Barnes. Lived experience and the ethics of archival representation. Informing contemporary
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, pandemic-generation and antibiotic resistance. The successful candidate will: Have a proven, strong educational background in English literature (see eligibility criteria below) Be excited and inspired by