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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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developed. This project is available from 1st October 2025. Applications accepted until post is filled. Informal inquiries can be made via email to Prof. Chris Bennett (c.bennett@nottingham.ac.uk
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners. Please contact Mohammad Reza Ilkhani ezzmi1@exmail.nottingham.ac.uk for further information and an
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented
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successful, invited to make a formal application. Do not submit your application via the My Nottingham platform without having contacted our team first. Please contact, Dr Xin Dong, for further information
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submit your application via the My Nottingham platform without having contacted our team first. Please contact the UTC Mechatronics Lead, Dr Abdelkhalick Mohammad, for further information. Email
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application. Do not submit your application via the My Nottingham platform without having contacted our team first. Please contact Dr Xin Dong, for further information. Email: Xin.Dong@nottingham.ac.uk Due
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Nottingham platform without having contacted our team first. Please contact the Rolls-Royce UTC director for further information. UTC Director: Prof. Dragos Axinte Email: dragos.axinte@nottingham.ac.uk Due