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and hard-working lab group, with a shared vision to improve the understanding and management of neurodegenerative disorders using big data methods and machine learning approaches. Click the 'Apply
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are looking
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datasets, therefore, there will be a focus in the implementation of models for large volumes of data. The project will work in an exciting interface of statistics and machine learning and has the potential
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pool, free lunch plus other benefits commensurate with working for a large Cambridge University College. How to Apply To apply, please submit a CV and a covering letter detailing how your skills and
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of a large multidisciplinary collaboration between LSHTM and Oxford Brookes University (lead partner), UCL, LSE, University of Leeds, University of Edinburgh, and a wide network of UK stakeholders
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or currently working towards a CCAB-recognised professional accounting qualification, with a proven track record of managing large data sets and reconciling complex financial records. We are UAL University
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. The student will leverage several existing large-scale, longitudinal neuroimaging datasets to examine how changes in brain connectivity may underpin the emergence of PLEs, and how this relates to a range of
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to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to
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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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Do you have a passion for data? Do you have strong administration skills and an eye for detail? The Workforce Development Team has an exciting opportunity for a People Insights & Systems Advisor