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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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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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Manufacturing processed NAB material and any post-processing requirements to match and/or exceed the properties of traditional cast/heat-treated NAB. You will have the opportunity to develop a Digital
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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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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris Gerada , Dr
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Start date: 1 October 2025 Application deadline: 30 June 2025 Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For further information please email Professor Chris
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environment. How to apply: Applicants are welcome to contact Professor Yupeng (Jack) Wu Yupeng.Wu@nottingham.ac.uk directly for more information about the projects. Application will need to email your CV
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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