367 systems-science-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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, is needed. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings for electric vehicle traction and aerospace propulsion, featuring improved
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Towards a Flower Waste Biorefinery: Predictive Enzyme Design for Bio-Based Chemicals This exciting opportunity is based within the Faculty of Engineering, which conducts cutting-edge research in
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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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. The studentship is aligned with several current priority and proposed research streams within the Faculty of Engineering, ensuring senior researcher expertise will be available to support the student. The broad and
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magnetic samples. This involves close collaboration between the Nanoscience and Spintronics groups in the School of Physics & Astronomy. The researcher is expected to actively contribute to the research
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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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to meet tight deadlines What we offer; A friendly, diverse, and supportive working environment A hybrid working arrangement with the blended approach of home and office working each week Our reward scheme
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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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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are looking to appoint an experienced administrator to provide support in all areas of the School, and
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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