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to their presence during manufacture and storage. The effect of exposing a material to either of these species is likely to affect its onward behaviour, and data on these processes will support predictive modelling
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used in other safety-critical sectors. Review international AV regulations and identify gaps in explainability and traceability. Develop a formal DCD model capable of representing AV reasoning and
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, please contact Dr Isabella Guido once deadline passes. You will need to meet the minimum entry requirements for our PhD programme . We are seeking a highly motivated and skilled candidate with a
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations