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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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King’s College London is inviting applications for a PhD studentship for an outstanding doctoral candidate wishing to pursue a research project in the field of education in colonial and postcolonial
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for ToF-PET and significantly enhancing early cancer diagnostic capabilities. The skills and knowledge gained will be highly transferable to other applications requiring high-performance radiation detection
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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biomedical science and/or medicine. You will have led research projects in the past and have an interesting record of peer-reviewed publications. Proficiency in a high-level programming language is required as
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located in Central Cambridge, Cambridgeshire, UK. The key research and scholarship responsibilities and duties of this role are: Plan and manage research activities Support an investigation into carbon
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
evidence-based interventions in elite sport environments. The successful candidate will be integrated in a programme of research involving the continuous collection of physiological and behavioural data via
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located in Central Cambridge, Cambridgeshire, UK. The key research and scholarship responsibilities and duties of this role are: Plan and manage research activities. Support an investigation into carbon
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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