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water. The successful candidate will work collaboratively within a dynamic team, utilizing cutting-edge technology to create user-friendly sensors for deployment by citizen scientists. The project will
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there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. Sponsored by EPSRC and Cranfield University, this DLA
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recycling and resource recovery. Cranfield University stands out as an ideal institution for this research due to its extensive resources and expertise in engineering and digital technologies
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from such machines to derive algorithms expressing their state of health and next maintenance needs. A background in both engineering and machine learning would be useful, although help is readily
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science and engineering? We are recruiting a motivated PhD candidate to undertake an exciting project within the EPSRC Energy Transfer Technologies Doctoral Training Hub. As a student of the Hub, you will
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Models (LLMs). Orchestrating AI/ML pipelines in 6G. Developing certification and checking processes for code inside ORAN 6G. The research will be a combination of software engineering, radio
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Research Framework Programme? Not funded by a EU programme Reference Number 4946 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied
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optimization, and advanced materials engineering in semiconductor and metamaterial-based packaging. 2- Self-Healing and AI-Enhanced Electronics – Develop AI-powered self-repairing and self-optimizing electronic
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wealth of social and networking opportunities. Please contact us to learn about the specifics in your chosen area of research. Research areas Power and Propulsion Engineering The Centre for Propulsion and
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research extremely relevant in today's interconnected and vulnerable digital landscape. Additionally, as technology continues to advance, the study contributes to ongoing efforts to stay ahead of emerging