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sensors, based on brain anatomy and correlated brain noise, including sensor number and layout required for best source reconstruction. Next, new models will be developed to optimise OPM-MEG sensors by
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will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
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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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changes (so called swelling). Swollen batteries are at risk of rupturing which may significantly shorten their lifetime. Development of advanced computer models is critical for understanding 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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, and business models. Analyse their effectiveness and adaptability in today's fast-changing policy landscape. Identify Barriers and Benefits: Assess governance, ownership, and financial barriers to HaaS
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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