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use a wide array of computational techniques to understand the performance of the best known oxide scintillators for these applications, examine if their performance can be optimised, and use
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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computer science. We welcome applications from candidates with a passion for high-performance sport, education and experience in any/all of the above, and a willingness to extend their skills in, and
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, utilising high-performance computing (HPC) servers and data from large-scale facilities such as Diamond Light Source and ISIS Neutron and Muon Source. For informal enquiries please contact Dr Jay Warnett
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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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The Surrey team has recently demonstrated the performance of new perovskite scintillator materials which combine a high scintillation light yield, high material density, good optical transparency
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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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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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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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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