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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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to undertake industrially linked research with leading engineers at the UK's premier hub for advanced manufacturing, i.e., Manufacturing Technology Centre (MTC). and with academics from the globally renowned
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department
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operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
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Funding Source: Warwick Industrial Fellowship (WIF) Sponsor Company: Thomas Swan & Co Ltd Start Date: 1/10/2025 Project Overview The project focuses on the development of sustainable chemistries
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methodologies for human-centric generative design, validated through case studies in sectors like engineering design, smart manufacturing, and supply chain management, etc. Develop open-source tools
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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system will manage and adjust the way information is used in real time. Cranfield University is a globally recognised postgraduate institution focused on applied research and strong links with industry
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at international conferences and build a professional network across academia and industry. Development of expertise in cutting-edge experimental techniques, computational modelling, and interdisciplinary
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November 2025 or as soon as possible thereafter. This PhD project aims to explore how emerging datasets could provide value to the UK’s insurance industry through a combination of data analytics, modelling