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to enhance the UK’s energy system resilience through a whole-system analysis approach. Building on the proven WeSIM model, RENEW will upgrade its capabilities to incorporate electrified district heating and
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. Low-power AI is crucial in this context, enabling continuous link monitoring and decision-making without exhausting limited satellite energy resources. The AI models will predict potential failures and
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physical-interaction-rich tasks in constrained environments. By utilising recent advances in visual language models (VLM), RAINZ_CDT aims to enhance robots' capabilities in reasoning, planning, and
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for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working prototypes aimed at powering the next generation of electric vehicles and
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machine structures, together with AI-driven optimization frameworks for diverse applications while considering LCA metrics. The success of this project could serve as a model for other energy-related
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material sticks to the edges of the drier, causing wastage of the product, and in extreme cases, deterioration of the drier itself. This research aims to develop a new multiphysics model to describe
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The Project: Are you passionate about materials science, numerical modelling and materials characterisation techniques? Do you want to work on cutting-edge research that will directly impact nuclear
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, elasticity is identified to play a key role in reducing noise. Theoretical modelling has shown the noise generation by scattering turbulent fluctuations at an elastic trailing ledge, which can change the
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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting
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Engineering Research Group) Aim: Develop a mathematical model for analysing reliability and efficiency of medical processes Background Adverse events and preventable failures in healthcare services represent a