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Materials Ageing, Performance and Lifetime Prediction, working closely with our other students, research fellows and industrial sponsors. Your professional and personal development is a priority for us during
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, ensuring stable operation even as system dynamics evolve. Recent advances in Modular Multilevel Converter (MMC) topologies, along with developments in battery and supercapacitor technologies, create new
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scientific evidence, methodology and data. Strong interpersonal, communication and organisational skills. Please note, a DBS check will form a condition of the offer. Personal qualities Strong work ethic with
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interoperability across complex assets and systems. The research will explore how common data architectures can be used to enhance semantic understanding and enable better decision-making across system-of-systems
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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have experience of having conducted relevant research and/or have undertaken relevant (e.g. paid professional) work. This being related to active travel would be advantageous. Please point to this when
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the joints and promoting neuromuscular stimulation through controlled perturbation. This gait retraining aims to reduce pain, improve mobility, and enhance overall function by addressing underlying
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-material additive manufacturing. This studentship will take place in world-leading research laboratories for additive manufacturing (CfAM) and advanced bio-printing (Additive BioFabrication Laboratory) and
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A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with
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eligibility criteria Planned research should relate to the productivity performance of developed economies and to the research areas of The Productivity Institute. This covers firm performance, skills and