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Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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, interdisciplinary research centres. We enable high performing research teams and future research leaders to thrive and make an impact locally, regionally, nationally, and globally. The Role As a Research Fellow, you
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This is an exciting opportunity to join a new thrust to develop state of the art very high order computational fluid dynamics frameworks for high performance heterogeneous computing systems, working
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multidisciplinary environment for learning, teaching and research, with some of the best facilities in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in
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in high-performance computing (including resource management and computer-time proposal preparation) and programming in C / C++ and Python as the project will involve ongoing collaboration with our
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The long-term structural integrity of steam generators in high-temperature reactors critically depends on the performance of advanced austenitic stainless steels, particularly under creep and creep
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, and have experience of running global climate models on high performance computing platforms and analysing their output. You will have evidence of a strong commitment to publishing scientific results
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The long-term structural integrity of steam generators in high-temperature reactors critically depends on the performance of advanced austenitic stainless steels, particularly under creep and creep
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the multimodal nature of cancer data. This includes data heterogeneity and hidden correlation structures, and their impact on learning performance. Implement and extend privacy-preserving techniques, particularly