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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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‘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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contribute to the management and conservation of the commons. Training The PhD candidate will be based at UEA, and, as such, will benefit from the Aries DTP training (e.g. summer and winter schools, ad hoc
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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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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secondments to the project’s industry supporter, Fera Science (Sand Hutton, York), where you will have access to complementary instrumentation and expertise within the Food Authenticity team. During your PhD
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Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for each project. “Development of natural-ageing-resistant, heat-treatable lean aluminium alloys
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We are delighted to announce the availability of 34 fully-funded studentships across the ESRC-accredited South West Doctoral Training Partnership (SWDTP). The SWDTP draws together the Universities of Bath, Bristol, Exeter, Plymouth, West of England, Bath Spa, Bournemouth and Plymouth Marjon....
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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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