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analytical frameworks grounded in Mean Field Game (MFG) theory and Multi-Agent Reinforcement Learning (MARL), which are tailored for eCPS. These frameworks will facilitate the creation of effective control
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by
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Senior Lecturer at Cranfield University and Research Area Lead at the Henry Royce Institute, Dr Fanicchia has pioneered innovative epoxy-based intumescent coating systems through the APC-funded CERABEV
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, an expert in radiation–matter interaction and materials simulation (h-index 36, i10-index 69), and Dr Francesco Fanicchia, Research Area Lead: Material Systems for Demanding Environments at the Henry Royce
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in radiation–matter interactions, computational modelling, and materials science, with a strong publication record (h-index 36, i10-index 69). Dr Francesco Fanicchia, Research Area Lead: Material
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constraints and product development considerations. This experience will empower graduates to become innovators, equipped to collaboratively lead and decisively shape the dynamic field of sustainable aviation
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. However, inefficiencies in wind turbine control and maintenance lead to increased operational costs and reduced energy output. Traditional maintenance methods rely on reactive or time-based servicing, which
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. Develop analytical and finite element (FE) models to investigate the extent and sources of nonlinear behaviour in LGSs. 3. Develop novel control strategies to stabilise LGS shape, orbit & attitude
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, with only 40% of SO spilling less than the target 10 spills per year in 2023. Climate change impacts will exacerbate this issue, as more periods of drought (where pollutants settle in the bottom
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. However, inefficiencies in wind turbine control and maintenance lead to increased operational costs and reduced energy output. Traditional maintenance methods rely on reactive or time-based servicing, which