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toolpaths for robot-assisted additive manufacturing with dynamically changed material accumulation directions. This research will be conducted in the School of Engineering at the University of Manchester, and
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for robot-assisted additive manufacturing with dynamically changed material accumulation directions. This research will be conducted in the School of Engineering at the University of Manchester, and is funded
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Development Institute), as well as two other PDRAs (remote sensing and social science) and a dedicated project manager, all based at the University of Manchester. The role also involves close collaboration with
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Development Institute), as well as two other PDRAs (remote sensing and social science) and a dedicated project manager, all based at the University of Manchester. The role also involves close collaboration with
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) will be trained to map microarchitectures to mechanical properties. Advanced graphing and optimisation algorithms would allow the intelligent placement, positioning and electric circuitry routing between
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the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact
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system, including a suitable camera and an embedded system, will enable real-time acquisition of images of the tube carriage, from the side of the carriage, and subsequent image processing algorithms
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of Manchester and the University of Birmingham. The project belongs to the Mathematics for Safe AI funding stream, which aims at assessing how we can leverage mathematics – from scientific world-models
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Stappers who leads the MeerTRAP, TRAPUM and PSS-SKAO teams at the University of Manchester, and will be a member of a team of developers with international industry and academia backgrounds. The team
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows