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requirements, course information and accommodation choices. You will utilise various methods of contact to engage with prospective students, including the enquiries phone line, email, live chat, social media and
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successful collaboration on the Common Data Environment (CDE) and support successful processing of information through workflows. Push the boundaries of analysing, interpreting and presenting large quantities
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visitors in a very large, busy reception office, covering a varied and vast number of duties. This includes providing postal, courier, administrative service and assist with the Mifare security system as
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candidate will be involved in analysing data from patients with psoriatic arthritis as part of a large international study funded by the European Union: Hippocrates. The work sets out to explore new standards
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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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work experience. You must also have demonstrable ability to write R code for data import & manipulation, a working knowledge of SQL, experience using/processing large or complex datasets and a meticulous
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access to expertly curated, longitudinal, multimodal cancer datasets and AI models for researchers in industry and academic institutions. The data and the development of AI within the platform, in
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Information Services Location: Newport, Shropshire TF10 8NB Salary: £35,116 to £38,249 per annum The point of entry will be dependent upon relevant qualifications and experience Post Type: Full
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behaviour change. We are now expanding our research to reach additional groups who spend large portions of their day sitting and are typically less active—such as university students, older adults, and
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: Proven track record in developing and delivering successful marketing and recruitment strategies. Senior leadership experience within a complex organisation, managing large, multi-disciplinary teams