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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
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(nathan.einbinder@plymouth.ac.uk ) Applications are invited for a four-year PhD studentship and will start, 1st January 2026. The project is funded from Centre of Research excellence in Intelligent and Sustainable
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This 3.5 year PhD project is fully funded for home students; studentship is open to Home (UK) applicants only. The successful candidate will receive an annual tax free stipend, set at the UKRI rate
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to maximize this impact throughout the PhD programme. Given a focus on body weight and strategies to reduce this, with consideration for sustainability and current consumer preferences for naturalness
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to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking, and career development after the PhD. The faculty has outstanding facilities and works in partnership with
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diagnostic accuracy and improve treatment selection and patient outcomes. This PhD studentship is expected to deliver the following outcomes: A validated protocol for at-home hormone monitoring using
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Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo (School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025
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applicants should contact Dr Jiling Feng for an informal discussion. To apply you will need to complete the online application form for a full-time PhD in Engineering (or download the PGR application form
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We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with Siemens and the UK Met Office. This project is ideal