262 professor-computer-"https:" "https:" "https:" "https:" positions at University of Nottingham
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lead on the delivery of the ResX Living and Learning programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need to be flexible and confident to lead a
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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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. They will be responsible for the day to day leadership and management of the Capital Projects team and the successful planning and delivery of the Estates capital projects programme in support of wider
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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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(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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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. About the role - In the role of Organisational Development (OD) Adviser you will design and deliver projects and interventions that contribute to the delivery of the OD strategy, and embed initiatives...
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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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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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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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, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling