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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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and thermal models developed with an industry partner, the research will simulate coupled heat and fluid transport in sedimentary reservoirs and assess system performance under varying operational
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This project will develop advanced computational and experimental tools to support the safe, efficient, and scalable manufacture of materials critical to UK and European security, with a particular
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under relevant process conditions. Rational mutagenesis and computational protein design will then be applied to enhance lithium specificity and operational robustness in complex, high-impurity leachates
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‑temperature operation. These features make HPCRs attractive for demanding applications including space power and exploration missions, remote/off‑grid energy supply, industrial heat, and resilient electricity grids. In
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a difficult sector to decarbonise, as electrical power is challenging for many forms of shipping. Hence, sustainable marine fuels are required. Methanol fuel tankers are already in operation, with
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biofeedback in people with CLBP to alter the way their muscles contract and explore the impact this has on pain symptoms and task performance. This project will integrate experimental research with the patient
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to be at the forefront of supporting female performance, the project will explore how female high-performance environments across Aquatics GB (e.g., Olympic swimming, Paralympic swimming, diving, and
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like MEMS, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact