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The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects the health of children and adolescents, including their mental health with the aim of creating healthier
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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project, which encompasses 4-6 PhD studentships across 5 research groups, you will be an integral part of a dynamic doctoral cohort. This unique opportunity provides the successful candidate with the chance
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on these small length scales is fundamentally different to that when we swim. By characterizing their swimming dynamics and the mechanical deformations caused by the encapsulated active biomolecules, you will
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, healthy communities (Beth Johnson Foundation, 2009). Community sport is a distinct, often multigenerational, cultural practice, providing a hitherto untapped potential for advancing intergenerational
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treatment, material and energy flow analysis, integrated data modelling, systems dynamics modelling, circular economy, sustainability assessment performance, decision-support tool design Month when Interviews
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is characterised by complex and highly dynamic turbulent flows that define the performance and design of renewable energy systems and their infrastructure. This PhD project aims to enhance
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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. This project focuses on advancing our understanding of fluid and droplet dynamics under extreme pressures — a key challenge in designing next-gen seal systems for aerospace, energy, and industrial applications
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in