369 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Nottingham
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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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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are looking for six friendly, engaging, enthusiastic people to join Science (3 roles) and Medicine and
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The School of Computer Science are seeking an organised, creative and enthusiastic team member to join our
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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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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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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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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