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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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governance processes, including ethics submissions, amendments, trial registration, and compliance with data governance and institutional requirements · contribute clinical insight, drawing on intensive
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design, ensuring quality, transparency, and excellence in all research activities · oversee ethics and governance processes, including trial registration, ethics submissions, amendments, and ongoing
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of Engineering and contribute to industry-engaged research in construction materials and modelling. This role offers a rare opportunity to work across laboratory experimentation, scaled-up prototype testing, and
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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apply. Selected applicants will receive detailed support in preparing the application at all stages of the process, including advice on budgets and facilities. Eligibility Applicants: Must hold a PhD at
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. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and
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. Procedure Reference: IT137 - 26- 34 I - Legal admission requirements I.I - Grant Recipients: The scholarship is intended for Masters in Electrical and Computer Engineering, enrolled in a PhD programme or a
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· contribute to project coordination, progress reporting, meeting facilitation, and School‑level service activities that support the smooth operation of the research program · actively contribute to a
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://research.nottingham.edu.cn/en/persons/alain-chong ; Prof. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal Information Processing