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become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address
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. The work will be hosted at Swansea University Medical School and is designed with strong patient and public involvement and aims to directly influence clinical practice through accessible tools and knowledge
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significantly reduce carbon emissions and bolster global efforts to achieve net-zero targets. Despite considerable advancement in their operational performance, their life cycle impacts, including raw material
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to float over floodwaters. Recent work in behavioural biology emphasises how differences among individuals within groups (e.g. biomechanics, physiology, behaviour, cognition) determine group structure and
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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diaspora in the UK. Based within SELCS-CMII, the student will also collaborate closely with UCL’s Centre for the Study of the Legacies of British Slavery. For current work of the Centre, please visit
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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cooling air. The aerospace requirements for accurate steady and transient thermal control in challenging operating temperature and vibration rich environments drives the need for bespoke, innovative low
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The ability to work collaboratively with diverse stakeholders and audiences Demonstrate an understanding of contemporary art debate with a focus on the relationship between material investigation and wellbeing
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frameworks to ensure the developed processes are compliant, scalable, and environmentally responsible. Multiobjective optimization algorithms will be employed to balance key performance indicators such as