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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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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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details of the project informally, please contact: Prof Hywel Morgan, Digital Health and Biomedical Engineering Research Group, Email: hm@ecs.soton.ac.uk Entry Requirements A very good undergraduate degree
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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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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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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
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skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Mengwei Sun Email: Mengwei.sun
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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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) 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