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cardiovascular medicine problem. The central aim is to develop next-generation computational approaches to identify the electrical signatures of diseased cardiac tissue and improve the targeting of VT ablation
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for UK Home students is available at the University of Bedfordshire to develop cutting-edge multimodal AI technologies that could transform the early detection of neurodevelopmental disorders and improve
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of Leicester, Rolls-Royce plc and UKAEA, you will develop advanced computational Multiphysics models to study the behaviour and interactions of crystallographic dislocations under extreme thermal and mechanical
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that this project will address are: (i) sensitivity to deformations and forces, (ii) repeatability and (iii) sampling rate, (iv) coverage area, (v) spatial resolution and (vi) temporal resolution. You will develop
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that will develop digital twins to investigate next-generation ventilation technologies in collaboration with Fisher & Paykel Healthcare. The project: High flow nasal cannula (HFNC) therapy, pioneered by
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provided on the programme. Research Proposal The project area is broadly defined, leaving scope for the applicant to develop their own specific research proposal as part of the application. The successful
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for the applicant to develop their own specific research proposal as part of the application. The successful candidate will further develop their proposal in close consultation with the supervisory team. Funding
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. This PhD will develop agentic explainable AI methods for nucleotide foundation models. Building on emerging preliminary work in the AI for Bioscience group, the project will create computational methods
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cohort of patients with MASLD. Investigate MNP toxicity, accumulation and clearance using patient-derived organoid models. Develop and validate the first tissue-based biological reference materials for MNP
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therapeutic targets and strategies to improve clinical outcomes. The successful candidate will develop skills in 3D cell culture models, multi-omics and more. We are seeking a highly motivated candidate with a