339 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at University of Nottingham
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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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the link to our benefits website What next: Further information on the role is available on the linked job description. Short-listed candidates will be invited to interview and asked to deliver a
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training will be given. Further details regarding the duties for the role can be found on the attached job role profile. Important Information- These positions are based at the Sutton Bonington Campus here
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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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collating the information for the monthly news bulletins for all sent Network members. The successful candidate for this full-time post will: Possess a first-class or upper second-class honours degree
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data and producing reports for senior managers as required. The role holder will manage operational budgets of up to £10m ensuring resources are allocated correctly and projects are delivered on time
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required to undertake assurance exercises on existing contractor and CDM control measures and will collate and report on data, identifying trends and making recommendations for improvements as required
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collating the information for the monthly news bulletins for all sent Network members. The successful candidate for this full-time post will: Possess a first-class or upper second-class honours degree in
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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