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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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Deadline: 31 August 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position
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potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea University) and Professor Jenni Quint (Imperial College, London) Aligned programme of study: PhD in Population
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Overview We have an exciting opportunity for a motivated researcher educated to PhD level (or close to completion, or with equivalent experience) to contribute to the development of a system based
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for candidates to have the following skills and experience: Essential criteria PhD at or near completion in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering
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(CVSSP), globally recognised for pioneering 3D computer vision and spatial audio, founder of Surrey Institute for People-Centred AI, and host of the new £8 million CoSTAR AI compute facility. Together
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
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and hard-working lab group, with a shared vision to improve the understanding and management of neurodegenerative disorders using big data methods and machine learning approaches. Click the 'Apply