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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
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new sustainable femtosecond laser nanomanufacturing process to overcome the challenges of atomic sale precision, feature size and defects rates for quantum dots. In this project, molecular dynamics
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eligibility criteria, this funding is restricted to Home fees candidates due to Council requirements Start date: October 2025 Total Hip Replacement (THR) is a common surgical procedure, with nearly 100,000
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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for wastewater treatment, do analysis of both sludge and water by using various analytical instruments, and conduct bioinformatic analysis. Candidates with high motivation and degrees in environmental engineering
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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strategic priorities: Equality, Diversity and Inclusion (EDI) – We encourage applications promoting and embedding EDI values throughout the whole research process. We also encourage original research