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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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(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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facilities, and beyond as appropriate. You have: A good honours degree in Computer Science or a related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial
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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
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related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial relevant industrial/commercial experience. Experience teaching university-level courses in