713 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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Cranfield University's tailored researcher training programme – setting you up for a rewarding career in water science and environmental technology. Per- and polyfluoroalkyl substances (PFAS), also known as
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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How to apply: uom.link/pgr-apply-2425 This PhD is fully funded; the successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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, this is only available to those eligible for UK fees. All applications should be made online via the above ‘Apply’ button. Under Campus, please select ‘Loughborough’ and select Programme ‘Chemistry’ Please
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an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is funded by NIHR as part of a Health Protection Unit in
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-world impact of their research Be comfortable using and learning about quantitative data analysis *applicants with less experience of more advanced quantitative methods, such as computational modelling
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doctoral training programme dedicated to academic research in space propulsion. R2T2 PhD programmes are already underway at nine UK universities, and the programme overall is centred on the Westcott facility
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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? This MRC-funded PhD project will use an integrative multi-omics framework to explore the molecular landscape of cystic kidney disease to reveal unknown disease mechanisms and identify new therapeutic avenues