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(School of Medicine) Positions available: 1 Funding: fully-funded (stipend and PhD fees) Start date: September 2024 (or earlier) Subject Area: Biophotonics/Optics The aim of cancer surgery is to remove the
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
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energy. Determining the intricate structure of the polycrystals is a laborious and restrictive task, and only a handful of measurement techniques are capable of fully imaging material microstructure. Laser
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laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project will be to shortcut the current search process in classify crystallographic orientation. This will be
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About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle
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Supervisory Team: Joseph Lifton, Thomas Blumensath, Mark Mavrogordato Project description: Working closely with Rolls Royce, this PhD will establish advanced, but practical 3D X-ray imaging methods
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experience in the areas of computer science, image processing, high performance computing, mathematics, and medicine. Dr Yanda Meng (Computer Vision, Medical Image Analysis, LLM), Prof Aline Villavicencio
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Location: Computer Science, Streatham Campus, Exeter The University of Exeter’s Department of Computer Science is inviting applications for a PhD studentship fully-funded by a large insurance
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on mental wellbeing, body image, and identity, PA is likely to have a key role to play in facilitating a healthy menopause transition. In this PhD you will seek to explore, taking a longitudinal, intervention
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expertise in machine learning and image processing, heritage scientists, conservators and curators. Summary of Project: In the cultural heritage sector, there is a long tradition of using complementary