51 phd-position-for-fully-funded-reserch-in-computer-vision PhD positions at University of East Anglia
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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application. Entry Requirements Acceptable first degree - Mathematics. 1st class BSc or 2:1 Masters or equivalent. Start Date: 1 October 2026 Additional Funding Information This PhD project is in a competition
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offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project whilst enhancing professional development and research
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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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Project Supervisor - Dr James Bull A PhD position is available in laser spectroscopy to probe the excited- and ground-state dynamics of next-generation photomolecular motors (PMMs). The position is
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discovery. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2025 entry. The programme offers postgraduates the opportunity
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: This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and comprises ‘home’ tuition fees and an annual stipend for 3 years.
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community, supported by cutting-edge research facilities and excellent training opportunities. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships
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awarded with a 4-year fully-funded studentship including direct payment of tuition fees to the University, stipend for living expenses (2025/26 rate: £20,780) and a Research Training Support Grant for each
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, and how these processes will play out differently in different communities and amidst existing sets of social relations. This PhD will advance this work by developing and evaluating a set of diverse