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, The University of Nottingham. Applicants are invited to undertake a 3 year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful
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/) and The Donald Danforth Plant Science Centre (https://www.danforthcenter.org/) The candidate should have (or nearly completed) a PhD in a computer vision or a deep learning-related subject. The ability
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for Additive Manufacturing (CfAM)'s expertise in applying computational materials science techniques to laser AM. The PhD student will be able to conduct research using a state-of-the-art multi-beam laser powder
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at the Faculty of Engineering (FoE), University of Nottingham which conducts cutting-edge research into the development of technology for biomedical applications. Vision We are seeking PhD students who
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PhD studentships offered by the School of Computer Science at the University of Nottingham, starting on 1st October 2024. The topics for the studentships are open, but your research proposal should
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Research (https://www.rothamsted.ac.uk/) and the Earlham Institute (https://www.earlham.ac.uk/). The candidate should have (or nearly have completed) a PhD in a computer vision or a deep learning-related
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at the Faculty of Engineering (FoE), University of Nottingham which conducts cutting-edge research into the development of imaging technology for biomedical applications. Vision We are seeking PhD students who
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View All Vacancies Engineering Location: UK Other Closing Date: Friday 31 May 2024 Reference: ENG1754 Applications are invited for a three-year PhD studentship within the Food, Water, Waste
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of Nottingham. Applicants are invited to undertake a 3-year PhD program in partnership with the UK Atomic Energy Authority (UKAEA) to address key challenges in robotic deployment systems enabling repair
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of Engineering which conducts cutting edge research. Vision We are seeking PhD student that is motivated to make technological advances, furthering the area of sustainable green corrosion inhibitors. Motivation