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outstanding facilities and works in partnership with leading industrial partners. For further information or to apply, please send Dr Sanliang Ling (Email: Sanliang.Ling@nottingham.ac.uk ) a covering letter, CV
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, biophysics or similar. • To apply, https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx For any enquiries about the project and the funding please email: glycoweb@nottingham.ac.uk View
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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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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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subject How to Apply: By email with CV and covering letter to craig.sturrock@nottingham.ac.uk Closing Date: 17/04/2025 View All Vacancies
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(consisting of a covering letter, research proposal, and CV) should be submitted by email to Joanne Cormac joanne.cormac@nottingham.ac.uk by 5 pm on 27th May 2025. The covering letter (no more than 1 side
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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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) are desirable. Background knowledge in one or more of dynamical systems theory, bifurcation theory or delay-differential equations would be advantageous. Interested candidates should email their CV and a personal
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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