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validated physics-informed digital twin FDP approach, developed with industry leaders like AMRC, the project aims to enhance this method and elevate its Technology Readiness Levels (TRLs), supporting
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the challenges of dynamic sensor networks for sleep management. Through the joint supervision between multiple disciplines, the student will be offered a unique opportunity to develop a robust personal portfolio
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their home countries and beyond. Training and Career Development As a PhD student, you will join the Faculty of Science Graduate School, which provides a comprehensive programme of professional skills training
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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computational biologists • Opportunity to contribute to high-impact publications • Career development opportunities, including support for enrolment in PhD programmes This post is for 1 year
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. The successful candidate will be responsible for supporting the interdisciplinary and multidisciplinary research and professional development objectives of the programme, including implementation of advanced
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biology, and biochemistry. Plan, conduct, and contribute to experimental work. Identify and develop relevant methods for data collection, analysis, and interpretation. Develop expertise across scientific
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, to demonstrate “process intensification” and rapid, scalable process development/optimisation. Previous work in the area by the Process Intensification Group has demonstrated that many batch processes can be made
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and PhD students who work on experimental synthesis of catalysts and testing catalysts using both thermochemical and electrochemical methods. You will develop skills in catalysis, electrochemical
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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