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educational environment. This PhD project is one of five independent projects open for applications, with only three funded studentships available. All applications will go through an initial review stage
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Project advert In collaboration with the Aston Martin Aramco Formula One Team, this is an opportunity to investigate how additive manufacturing parameters influence the aerodynamic performance
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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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an alternative feedstock using chemical depolymerisation or other approaches. Explore opportunities to re-use material as an additive or filler product for other processes. Investigate sustainability
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multimodal imaging and vision language models. Validate performance of the AI technology in clinical settings. Funding Both Home and International students can apply. Home tuition fees will be covered
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the acceptability and feasibility of prehabilitation from the patient perspective Integrate qualitative insights with quantitative measures of exercise tolerance and functional capacity Co-produce recommendations
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, build and commission a suitable plasma system for nitrogen fixation. Investigate the effect of plasma operation parameters on the formation of nitrogen fertilizers in water. Investigate the effect
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have developed a human ‘brain-on-a-chip’ model that faithfully recapitulates the neurovascular unit, where neurons interface with the vasculature in the brain. You will use CRISPR gene editing