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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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discipline. To apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to
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apply: send covering letter, CV and academic transcripts by email to Geoffrey.Rivers@nottingham.ac.uk . Applications without academic transcripts will not be considered. Please refer to the project title
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optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and
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the conventional manufacturing process of advanced aerospace materials but also the state-of-the-art materials investigation such as scanning electron microscope (SEM), X-ray diffraction (XRD), electron backscatter
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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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. Email: Xin.Dong@nottingham.ac.uk Due to the high volume of applications, we will only be contacting shortlisted candidates. Applications will be evaluated on a rolling basis until a suitable candidate is
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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