209 evolution-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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university closure days including closure between Christmas and New Year. · Our reward scheme grants bonuses of numerous values for excellent work · We are committed to staff development through the provision
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committed to staff development through the provision of training, continued support, and career progression opportunities You will have access to a range of benefits and rewards, including fitness and health
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efficiency, consistency and patient outcomes; they also introduce new cognitive demands, risks, and accountability challenges. This project aims to contribute to the development of human-centred, safe, and
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coupling. This PhD project focuses on the development of next-generation high power density EMS, to unlock a more compact and efficient energy ecosystem, where EVs do not just consume power, they help drive
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to academic colleagues from bid development through to project delivery and close‑out. You will oversee project finances and resources, ensure compliance with University and funder requirements, support audits
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activity across a range of research projects and related areas · provide specialist support advice and guidance on operational processes and activities · contribute to the development and continuous
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metabolomics and novel physiological MRI technique development within a translational research environment bridging analytical bioscience and neuro-oncology. Research Environment The successful applicant for a 4
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. Are you looking for a role which supports the development of activities that enable research to make a
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support, you will provide high‑quality administrative support across the School. This includes delivering a range administrative systems and contributing to the ongoing development and improvement
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning