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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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within the Institute of Health Informatics. The studentships will commence from Feb 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a
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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
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About the Project Project details: The rapid evolution of battery technologies drives global lithium demand, and the UK’s 2030 vision seeks a competitive, sustainable battery supply chain to fuel
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Peter Hamilton, and Professor Ray Yep), and who also share a vision for public engagement of the discipline. The studentship is funded by an endowed fund at the University. The Centre encourages and
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limited to Professor Robert Bickers, Dr. Vivian Kong, Dr Peter Hamilton, and Professor Ray Yep), and who also share a vision for public engagement of the discipline. The studentship is co-funded by a
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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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year for consumables and travel. Funding from MTC requires passing their security checks before starting the PhD. Vision We are seeking a PhD student that is interested in robotics and automation
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, FIFA, England & Wales Cricket Board, New Balance, Nike, UK Sport, Reebok, Speedo, and others, in the design, simulation, testing, and manufacturing of sporting goods. Our vision is to provide world