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, Aberystwyth University, University of Lincoln and Brunel University London. Our vision is to develop a diverse cohort of scientists and innovators, with in-depth scientific knowledge, advanced technical
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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regenerative tea production system’. About the Role We are looking for a full-time postdoctoral Research Fellow to work on a high-profile project funded under the BBSRC’s Prosperity Partnership programme, a
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 5270 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering
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detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
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in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed
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system. This project will focus on improving the intake aerodynamic design systems in terms of design optimisation as well as computational modelling. Entry requirements Applicants should have a first or
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Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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Library/Information Science (or similar) and have substantive experience in an appropriate library environment preferably within the higher education sector, at least some of which should have been in a
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to £43,805 per annum We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly