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, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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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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composites manufacturing. The successful candidate will contribute to this broader vision by investigating the surface characteristics and suspension dynamics of recycled short fibres used in alignment
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meetings. Project Background This project directly supports QCI3's vision of integrated and interconnected implementations by developing essential benchmarking tools that bridge across all three themes
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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suitable for those who have a commitment, skills and vision to help deliver volume manufacturing of the next generation of sustainable energy products. Funding: This scholarship covers the full cost
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to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to
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outputs and engage with external stakeholders to develop the impact of your work Other Contribute to the Business School Vision, Mission and Strategy Operate as an active citizen in the Business School
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(j.e.turner@sheffield.ac.uk) Our vision and strategic plan We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window). We are a Disability Confident Employer. If you