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potential progression up to £71,050 per annum About the Role This role is responsible for leading and delivering communications across a complex change programme, ensuring colleagues are clearly informed
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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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Programme? Not funded by a EU programme Reference Number 5293 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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Programme? Not funded by a EU programme Reference Number 5286 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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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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the EU Research Framework Programme? Not funded by a EU programme Reference Number 5263 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering
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We are seeking a highly motivated candidate to undertake a PhD program titled "3D Temperature Field Reconstruction from Local Temperature Monitoring in Directed Energy Deposition." This exciting
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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Application Deadline 8 Mar 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme
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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