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of green hydrogen. Led by Loughborough University and partnered with Cranfield and Strathclyde universities with the insights and knowledge of over 60 industrial and civil partners, the CDT will provide a
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efficient AI landscape in which machine-learned knowledge can be built incrementally and worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI
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. Storytelling offers a powerful tool to communicate these complexities and facilitate system changes. In this PhD research, we aim to examine how combining systems thinking and storytelling can help individuals
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) enhance understanding of the degradation processes; (ii) investigate inspection and condition assessment strategies; and (iii) develop modelling techniques, leveraging machine learning and artificial
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, instead of having to rely on trial-and-error tests? Could Machine Learning-based tools help process parameter optimisation? This will lead to right-first time product realisation, with the corresponding
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an excellent opportunity to work with Dr Ahsan Islam’s research group within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community
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different components a forecasting system, e.g. numerical weather predictions and flood dynamics modelling, need to be better understood, quantified and minimised. Methodology The aim of this exciting PhD