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, large-grant project on the epidemiology of bovine tuberculosis in wild badgers, using state-of-the-art Bayesian modelling approaches to study the drivers of infectiousness and transmission of infection in
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for marketing, engagement and fundraising, gained in either a charity or HE setting; of collating large amounts of data and presenting it in appropriate formats to colleagues, senior managers and volunteers
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to our student teams. The roles will deliver a proactive and supportive service: working effectively as part of a large team, to assist in the delivery for student athletes. Shifts will be based around
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collaboration that has mapped emotional hotspots in four cities in the UK and EU using spatial analysis of social media data. The next phase of the project aims to incorporate explainable AI (XAI) to interpret
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in Euston Road, and an office building in Bedford Square. It is a small HEI, but it has a big heart and strong sense of community. We are seeking to appoint a Principal to provide inspirational
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types. Experience of complex data handling and management of large data sets. Machine learning approaches to time series data. Knowledge of Agile project management methodology. Communicating complex
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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unit data in different states from different recordings (e.g. Neuropixels), and build an understanding of how stimulation could move the network between different neural states Collaborate with team
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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, you'll work with large-scale multimodal datasets, clinical trials data, and population imaging studies to drive innovation in personalised medicine and in silico trials. If you're passionate about pushing