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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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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
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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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Principal supervisors: Dr Thomas Bestwick-Stevenson (School of Medicine), Teaching Associate – [email protected] Professor Kimberley Edwards (School of Medicine, Professor
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Principal supervisors: Professor Kimberley Edwards (School of Medicine, Professor of Sport, Exercise, and Nutrition Education – [email protected] Dr Thomas Bestwick-Stevenson
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candidate will investigate novel sensing methodologies, develop physics-informed computational models, and apply state-of-the-art machine learning techniques to extract meaningful information from complex