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Field
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PhD Application". Emails should arrive no later than 1 September 2025. Applications may close early if the position is filled before this date. Please note that any offer of funding will be conditional
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The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects the health of children and adolescents, including their mental health with the aim of creating healthier
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
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performed annually in the UK. However, about 20% require revision within 15 years due to complications like implant loosening, dislocation, and fractures caused by suboptimal implant positioning. With primary
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will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11 industry leaders in pharmaceutical
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, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11 industry leaders in
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the NIHR as part of EPR-HPRU between the University of Birmingham and UKHSA. In addition to the extensive training offered to all PhD students at UoB, the student will receive training and opportunities
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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2025 Reference: RD-PHD-01-LS-MH-25 Project Title: The cost of silage production: measuring the carbon footprint of silage Primary supervisor: Prof. Liam Sinclair Co supervisors: Dr Kate Le Cocq, Dr