38 modal-time-freqeuncy-artificial-intelligence PhD positions at University of Nottingham
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excellence, developing and applying innovative research in Artificial Intelligence (AI) and Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application
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Manufacturing process for Cold Spray with Artificial Intelligence, operate the AM machine, characterise the materials with scanning electron microscopy and transmission electron microscopy with tensile testing
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the groundwork for advanced unique intelligent coatings systems able to be customised based on the external contaminants, thus helping ensure the sustainability of the aerospace industry. The coatings will be
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PhD Studentship: Rolls-Royce sponsored PhD scholarship – Intelligent Mechatronics and Robotics Systems Engineering Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing
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set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift) plus home tuition fees will be paid. We recommend that you apply early, as the advert will be removed once the position has been
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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2025/26; subject to annual uplift) plus home tuition fees will be paid. We recommend that you apply early, as the advert will be removed once the position has been filled. Do you want to be at the heart
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start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham
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respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug