130 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at University of Nottingham
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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Based in locations across all our UK campuses, we work as one service to provide collaboratively conceived, locally managed and collectively delivered services to students from all our Schools and Faculties. The Careers and Employability Service has an excellent track record in supporting its...
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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world-class training programme combining research-led innovation with real-world industry application. Students will receive high-level entrepreneurial training provided by Haydn Green Institute, bespoke
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Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The University Of Nottingham Sport is currently undergoing an ambitious change and investment programme to
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Hubs and will work closely with the AP2 academic attachment leads and teaching leads in each LEP. You will also be the SAST lead and academic co-lead for the UK Foundation Programme for our students
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. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral
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Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent