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Wales experience and training with the SAIL databank, a world-class secure research environment with some of the richest population data in the world being positioned in a diverse and thriving team
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specialise this single foundation model into a team of expert agents (e.g., for security, optimisation, and automation). This method instils domain expertise by freezing the LLM's core parameters and fine
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By
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in resilient, data-driven control of cyber-physical power systems, enabling secure, stable, & efficient operation of future smart grids. Project specific entry requirements: The applicant should have a
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this pioneering research. The project has the potential to underpin the future lithium extraction technology, enhance UK energy security on critical mineral supply chains, driving economic and environmental
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to manage and lead independent work within a larger team Demonstrates initiative and creativity in problem solving Commitment to diversity, equity and inclusion Ability to adhere to safety protocols and
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approach which considers multiple interacting aspects of the water system. This research will explore how SROs can be optimised to deliver dual benefits: reducing flood risk and enhancing water security
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rate). Additional project costs will also be provided. Overview Falls are one of the most serious safety risks for older adults, and rapid, reliable detection can significantly reduce long-term injury
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subsurface conditions. The goal is to generate insights that improve the safety, efficiency, and predictability of geological CO2 sequestration and storage. You will have the opportunity to co-shape
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. This research will directly contribute to more reliable, cost-effective and environmentally responsible floating wind technology, helping secure a sustainable, net-zero energy future. Number Of Awards 1 Start