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. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
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) and X-ray absorption techniques. The student will also gain experience in using ultra-high vacuum apparatus, data processing and scientific programming, as well as training in more general skills such
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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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discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy
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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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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