Sort by
Refine Your Search
-
Summary This PhD project will develop and validate an ultrasound-based system for real-time monitoring of bone temperature and insertion forces during orthopaedic implant procedures. Excessive heat
-
applications, translating astrocytic principles into bio-inspired AI architectures. The candidate will have the opportunity to: Train in cutting-edge computational neuroscience and NeuroAI. Collaborate with
-
include; the identification and development of suitable reinforcement materials, optimisation of TTR parameters and the examination of their influence on the overall composite. This research aligns with
-
impact product stability. To address this global challenge, this PhD project aims to develop novel nano-engineered medical grade polymer composites with boosted UV shielding characteristics, while
-
insights that support diagnosis, rehabilitation, and long-term wellbeing. The programme will focus on developing responsible, interpretable, and accessible AI frameworks that enable clinicians and
-
, climate control, and irrigation systems, poses critical challenges to its economic viability and environmental sustainability. This PhD project aims to design, develop, and optimise a climate-smart, net
-
construction technologies. Large full-scale compartment fire tests, while providing the best insight into fire development, are extremely expensive and often take months if not years to conduct. Instead
-
Apply and key information This project is funded by: Department for the Economy (DfE) Summary This novel project aims to investigate the benefits of a newly developed PUFA Omega-3 fish oil
-
rates as well as how victims were represented in court and in the media. This project will inform and develop understanding about the history of violence against women and girls and the attempts to end
-
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