466 systems-science-"https:" "https:" "https:" "https:" "UCL" positions at University of Nottingham
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this challenge directly, combining food chemistry, flavour science, and data-driven modelling to develop sodium-reduced coating systems that are healthier, more sustainable, and commercially viable. The project
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Predicting infiltrative glioblastoma progression using advanced magnetic resonance imaging methods Project Supervisors: Michael Chappell, Steffi Thust Project Overview Glioblastoma (GBM) is the most
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Manufacturing Technology Research Group at Faculty of Engineering which conducts cutting edge research into sustainable high-value manufacturing processes. Vision We are looking for a PhD student who is motivated
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turbulence control to improve fluid dynamic efficiencies of aeronautical vehicles and engineering machineries. Prof Penny Gowland is a Professor of Physics, who is a well-established academic in MRI research
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required to troubleshoot and will be a quick and confident learner who is keen to engage in supporting new technologies. You are very much a team player with good communication and customer service skills
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering which conducts cutting edge research into high value product extraction from UK seaweeds
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The Nottingham Transportation Engineering Centre (NTEC) is seeking a highly motivated Research Fellow in the field of sustainable pavement engineering for an initial period of 6 months. This role
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) based in the GSK Carbon Neutral Laboratory for Sustainable Chemistry at the University of Nottingham. This is a highly challenging project in Synthetic Organic Chemistry and requires excellence in
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science, 3D printing, biotechnology, and engineering. Eligibility and Application This call is open to UK-Home students and to International students. Project start date and duration: Start October 2026
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background in computer vision and strong understanding of a range of AI methods. They must hold a PhD in computer science, with a focus on developing AI-based computer vision approaches. Expertise can be