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PhD Studentship in Computational Modelling and Optimisation of Plasma Systems We invite applications for a fully funded PhD studentship focused on the computational modelling and optimisation
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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algorithms that combine Reinforcement Learning techniques like Partially Observable Markov Decision Processes (POMDPs) with cognitive inference modules capable of modelling human beliefs, intentions, and goals
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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uncertainties make planning and decision-making more complex and difficult to optimise using conventional approaches. This project aims to develop advanced modelling and simulation frameworks to support decision
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, populations, and types of amenities remains largely unexamined. Why 15, rather than 10, 20, or 30 minutes? The assumption that the health and wellbeing benefits of this model will be evenly distributed is
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three coupled components. First, a physics-informed graph surrogate model will emulate network hydraulics at scale, representing pipes and assets as a graph and predicting flows, depths, surcharge
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, radiologists interpret scans such as CT, MRI, and X-ray together with textual information, including patient history, laboratory findings, and prior reports. Although recent Vision–Language Models (VLMs) can
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nanofabrication, electromagnetic and micromagnetic computational modelling, theoretical and experimental analysis of electromagnetic properties of metamaterials, as well as the fundamentals of microwave
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nanofabrication, electromagnetic and micromagnetic computational modelling, theoretical and experimental analysis of electromagnetic properties of metamaterials, as well as the fundamentals of microwave