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Deadline: All year round How to apply: uom.link/pgr-apply-2425 How many positions: 1 Open to: UK students This 3.5-year PhD project is fully funded by The University of Manchester and the funding is
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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Business School. The lab brings together researchers working across a wide range of empirical fields, including: Labour economics Macroeconomics Sports economics Political economy Consumer economics
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The aim of this project is to analyse the effect of hydrogen and Low Carbon Intensity (LCI) fuels on degradation of surfaces exposed to such harsh environments and, subsequently, structural
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in hospital admission, loss of independence, and increased reliance on health and social care services. It is essential that technology-based solutions are introduced in a way that is person-centred
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
in machine learning methods for pattern recognition and prediction. An academic or practical background in sleep science and/or elite sport is highly desirable. The candidate will be embedded within
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Gerada , Dr. Tianjie Zou (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and Technology Organisation aimed at de-risking and accelerating the adoption
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Research theme: Chemometrics The project is jointly funded by the Community of Analytical Measurement Sciences and the University of Manchester Department of Chemistry. The successful candidate will
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PhD studentship: Systems pathology of the breast tumour microenvironment in obesity. Supervisor: Dr H Raza Ali Department/location: Cancer Research UK Cambridge Institute Deadline: 17 August 2025
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an IELTS score of 6.5 overall with a minimum of 5.5 in each subsection. International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa