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of patients in clinic settings or at home across a large local geographical area, meaning that there is likely to be extensive travel which would be facilitated by having a valid driving licence, and access
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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University IT alongside well-established infrastructure, systems and operations teams and will have a key role in support of a large-scale SaaS based CRM system (Engage2Serve Retain) – focusing primarily
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Department The School of Life Sciences is large and diverse academic department within the Faculty of Science and Health, engaging in research and education ranging from Biomedical Science to Marine
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, democratising access to data, AI assets, technologies, and capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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including designing and conducting experiments, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data
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proactive, particularly when acting as lone shift engineer Ensure call ticketing & asset management systems data is kept up to date Ensure health and safety is maintained throughout the building and on all
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Applications are invited for a SQL Developer, to work with the ORCHID Research Platform central data team at the Nuffield Department of Primary Care Health Sciences. ORCHID is a large primary care
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The post is to contribute towards the creation of an outward facing web user interface, for non-specialists to access census data dating back to 1971, for both common geographies and also bespoke