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Supervisors: Dr Tim Halim and Dr Gregory Hamm Course start: 1st October 2026 Overview The project will be supervised by Dr Tim Halim, Dr Albert Koulman (Institute of Metabolic Science) and Dr Gregory Hamm (AstraZeneca). Project details The tumour immunity cycle involves cyclical trafficking of...
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This project provides comprehensive training in innovative analytical techniques designed to explore fungal contaminants and their toxins in food, making a tangible impact on food safety and public health. As a successful candidate, you will benefit from full financial support, dedicated...
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The PhD is funded by Kentown Support, a charity focused on improving community care for children with life-limiting conditions. The PhD will start in October 2025 and is funded for 3 years. Award
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Applications are invited for three (3) PhD Studentships, based at the Department of Statistical Science, UCL. The positions can involve any topic within the Statistical Science remit. The positions
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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be possible, please contact Professor Chris Proudman once deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Additional requirements: Familiarity with horses
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of the overall efficiency of the system. Their degradation behaviour in different fuels (hydrogen, ammonia or bio-fuels) is yet to be understood. This PhD project aims to investigate the effect
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Research Centre of WMG, the University of Warwick. This PhD studentship offers a unique opportunity to work on the exciting topic with the leading scientists at Tata Steel UK. Essential and Desirable
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‘Research Area' field blank select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing