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Flooding stands as the most prevalent natural hazard. However, whilst substantial research effort has been reported in the last decade to develop high-performance physics-based models for more
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nationals. As this position is sponsored by the MTC, any successful candidate would need to pass the sponsors own security checks prior to the commencement of the PhD. Motivation Automation is key to meeting
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exist—such as model checking, symbolic execution, and interactive theorem proving—they are rarely applied together in a coordinated manner. This project aims to change that by introducing a rigorous
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will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
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for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working prototypes aimed at powering the next generation of electric vehicles and
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its use of AI-driven predictive models that analyse real-time data from IoT-enabled devices to forecast patient outcomes, such as the risk of sepsis from urinary tract infections. This proactive
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in correctly identifying high acuity cases within an increasing volume of lower acuity calls. This project will use mixed methods to assess the impact of this change. Data modelling and analysis will
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, focusing on performance, operability, and dynamic behaviour (e.g. water hammer effects). Working closely with Rolls-Royce, your research will develop and validate models using real-world industrial data
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PhD Studentship - Discovery of Novel Biomarkers in Rare Neuromuscular Disease Using Stem Cell Models
into the rare NMD patient registry established in the LifeArc Centre for Acceleration of Rare Disease Trial to determine if biomarkers identified from cell models correspond to biosamples from patients with rare
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multimodal machine learning, large language models, and fairness and uncertainty evaluations. The PhD student will benefit from: State-of-the-art AI computing recourses for large-scale model training including