306 web-programmer-developer-"https:"-"https:"-"https:" positions at University of Nottingham
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while enabling the transition to low-carbon production. The successful candidate will focus on developing and deploying open-source and transparent modelling tools to evaluate and develop technology
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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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programme to help understand and improve the experiences and outcomes for all children and young people learning maths. Your role will require strong organisational and interpersonal skills as you will be
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periods. Excellent oral and written communication skills and be competent with Microsoft Office applications including Word, Excel, GIS. You will be willing to acquire or develop competence in XML. We
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. This includes responsibility for ensuring our programmes offer an equitable and high-quality academic experience, for developing access pathways and apprenticeship programmes, and for embedding a culture of
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Are you ready to take the lead in managing and developing facilities and infrastructure in a dynamic and research-intensive environment? The School of Life Sciences at the University of Nottingham
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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and embracing a complex, intersectional identity in this community. You effectively influence, step up to challenge the status quo, and develop equitable, inclusive networks. You will have experience
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density