577 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions in United Kingdom
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Royal Holloway, University of London | Kingston upon Thames, England | United Kingdom | about 13 hours ago
The South East Doctoral Training Arc (SEDarc) is pleased to offer Economic and Social Research Council (ESRC) funding for up to 39 PhD students for September 2026 entry. We welcome applications from
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variety of innovative funded doctoral research projects. We are offering these fully funded PhD studentships at home or international fee rates, plus a stipend set in-line with UK Research & Innovation
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, Aerospace and Civil Engineering at the University of Sheffield, and embark on a transformative PhD project funded by John Crane Ltd, a global leader in engineering technology. What’s the Project About
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Profiling hardware and feasibility of new
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence will inform future race strategy and live race tactics. Multiple factors influence the strategy...
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-funded by the European Regional Development Fund through Welsh Government. The brand-new building of the Computational Foundry provides an ideal environment for doing a PhD. Funding duration – 4 years
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need to apply for a PhD place at your preferred CAM-DTP university and indicate that you wish to be considered for ESRC funding. If you are made an offer of admission, your department will decide whether
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Targeting Cardiometabolic Dysfunction in Heart Failure with Preserved Ejection Fraction (HFpEF): Mechanisms of Exercise-Induced Protection Overview Applications are invited for a fully funded 4-year
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust