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on previous interventions of pneumonia. Who is this PhD suitable for? This PhD is suitable for a hard-working researcher with an interest in respiratory infections and health economics. Essential skills: A
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should have or expect to achieve, at least a 2:1 (or equivalent) in any engineering degree programme, physics or mathematics. English language requirements: Applicants must meet the minimum
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- 3.5 year fully funded PhD research project at the School of Computer Science, University of Birmingham. This scholarship covers (UK home) tuition fees and stipend. The stipend is the national UK
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in nature and can be tailored to suit the interests and backgrounds of individual candidates. Applicants from diverse disciplines—such as construction, engineering, computer science, business and
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(CAD) since 2016 and CT- Fractional Flow Reserve (CT-FFR) as a second line test since 2017. In 2018 a national health technology programme funded CT-FFR utilisation with the aim of improving patient
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study: search for the ‘Course Title’ using the programme code: 8020F select ‘PhD Biology (full-time)' as the programme of study You will then need to provide the following information in ‘Further Details
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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Start date: November 2025 This PhD is an exciting opportunity to expand knowledge and understanding in the applications of natural chitinous polymers for bacterial/viral prevention and biofilm
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. How to apply Applications should be submitted via the Veterinary Medicine and Science PhD programme page, by clicking the 'Apply' button, above. In place of a research proposal, you should upload a
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and establish their potential remain to be answered, both in terms of enabling technologies for distributed sensing and the techniques that exploit it. The focus of the PhD project is to improve our