982 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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Supervisor(s) Dr Hannah Worthen University of Hull Dr Anna Bird University of Hull Enquiries email: livingwww@hull.ac.uk Funding for: UK students Subject areas Physical & Environmental Sciences Historical & Philosophical Studies Project description As the UK’s climate continues to change, its...
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Two PhD positions, funded by the UK Royal Society, are available at the MIND Research Group for the academic year starting in October 2026. The group is based in the Clarendon Laboratory, Department
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. To learn how to apply, go to the How to Apply page: westminster.ac.uk/research-degrees/how-to-apply . For useful resources to support your application, visit the Thinking of Doing a PhD page
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Bachelors Honours degree (or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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Project title: Towards Greener Wars Supervisors: Dr Saeed Bagheri / Professor Benoit Mayer Project Overview: War and other military operations are responsible for a significant share of global
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3 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD
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PhD Studentship - Marie Curie network MetaExplore: Functional metagenomics - novel biocatalysts for a sustainable circular economy from ultrahigh throughput screening. A doctoral position is
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Application deadline: All year round Research theme: Post-Quantum Cryptography UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible