247 data-"https:" "https:" "https:" "https:" "https:" "https:" "KU LEUVEN" uni jobs at University of Nottingham
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of data for our submission to REF in November 2028. The role holder will work closely with a wide range of colleagues across the institution to coordinate and support the systems (e.g. RIS) and data
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as a key point of contact. You will offer information, guidance, and support to prospective and current students with disabilities, mental health difficulties, long-term medical conditions, autistic
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users Communicate clearly and proactively with staff and students, providing updates on works, changes and issues Maintain accurate statutory testing and compliance records, ensuring data is well
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and delivery of an ambitious, data‑driven student recruitment strategy across both domestic and international markets Provide expert market intelligence and strategic advice to the University Executive
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. Collaborate with a wide group of stakeholders to ensure support levels are delivered and maintained. Provide guidance to the relevant stakeholders, calculating budgets and data entry using the Research
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Confidence working with systems and data, including CRM databases and Microsoft tools Effective organisational skills, with the ability to manage competing priorities and support others in their delivery A
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learners to build their portfolio, and work towards a successful End Point Assessment. Experience of working within one of our priority sectors (Data & Digital, Engineering, and Biomedical & Health) would be
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to collate, analyse and present research data/information. Support annual school and university academic processes, such as the school Research Leave (RL) process, maintaining the rota and administering
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identification and gathering of data to feed into the quantitative elements of the submission and will be the central contact point for advice and guidance on the SPRE element of REF. They will also support the
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field trials. You will work with leading researchers, industry partners, and farmers, playing a central role in data collection on real-world farms, to provide evidence to bridge the gap between research