234 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" positions at University of Nottingham
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are pleased to offer an exciting opportunity to join our Senior Administrator Team within Disability Support Services. In this role you’ll provide professional, confidential, and proactive support within...
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative
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. Gordon Airey, Dr Anand Sreeram, Dr Nick Thom, Dr Richard Taylor Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased
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fixed-term period. This key role will help deliver our comprehensive privacy enhancement programme as we modernise our privacy management framework in response to evolving legislative requirements
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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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(NPLQ) and in addition, our team of Professional Development experts will work with you to find the course, funding or programme you need to help you fulfil your potential. A team player, you will bring a
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, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling
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. Summary This programme of research builds on our previous studies where we identified genes we believe mediate pain and inflammation in the joints of patients with osteoarthritis. The aim of the current
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provides a thriving research environment for postgraduate researchers, fostering a strong sense of community across disciplines. PGRs benefit from training through the Researcher Academy Training Programme
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning