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leading international collaborators. The student will gain valuable knowledge and training in mathematics, machine learning, high-performance computing, and brain sciences. Essential criteria Applicants
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
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reinforcement in both the site of the insertion of the tufting yarn and between the tufts, whereas z-pinning does this at the site of insertion. 3D wovens involve layering and interweaving fibres in a computer
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, design, and problems, Heliyon, 2023. Zhao et al. Patient-specific computational simulation of coronary artery bifurcation stenting, Scientific Reports, 2021. Khan et al. 3D printing technology and its
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International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 1360-1368, doi: 10.1109/QCE57702.2023.00154. Place, A. P. M., Rodgers, L. V. H., Mundada, P. et al. (2021). New
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foundations (e.g. concrete piles). These dual purpose ‘energy piles’ offer a sustainable and scalable solution for harnessing geothermal energy from underground soils and rocks, whilst serving as structural
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intraoperative feedback on these risks. The project will combine biomedical engineering, signal processing, and clinical collaboration to design a non-invasive ultrasound monitoring system capable of quantifying
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Development of smart clothing for physiological monitoring of children with heart conditions at home
technology into smart textiles, with design suitable for wear by small infants. Monitoring will track breathing, heart rate, arrythmias and oxygen levels to provide clinical feedback and parental reassurance
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, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
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Pharmacist-Led Medicines Optimisation in Metabolic care: a Cross-System Implementation Science Study
Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD programme will develop and evaluate AI-assisted, pharmacist-led clinical decision-support