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needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
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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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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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to exposure misclassification. This is particularly true for social housing residents, who are more likely to live in poor-quality housing and hence be more vulnerable to climate change. The primary
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Applications are invited from UK students for a three-year PhD studentship funded by the NIHR Nottingham Biomedical Research Centre, School of Medicine. The PhD project is clinically focused towards
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made at research assistant and amended to research associate when PhD is awarded (PhD to be awarded within 6 months of start date). Location - Department of Public Health and Primary Care, Strangeways
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Loughborough University Vice Chancellor’s PhD Cluster – Super-Smart Textiles (SuS-Tex) for Healthcare and Sports. The Doctoral Researcher will join a cohort of five researchers belonging to the SuS-Tex cluster
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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Studentship Start Date: 01/10/2025 Principal Supervisor Name: Eleni Iacovidou Other Contacts: Theodoros Giakoumis (BUL) and David Inman (AW), William Davies (AW) and Mar Batista Segui Project