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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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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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holder will collaborate with Profs. Carlo Contaldi and Andrew Jaffe on the development of a B-mode estimation pipeline for large angular scale data returned by the SO Small Aperture Telescopes (SATs
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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environment, of engineering AI solutions to problems (especially neural networks or large language models) and/or applying data science techniques (such as Bayesian or similar statistical modelling). You should
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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Grade UE08: £50,253 - £61,759 per annum : Grade UE08 User Services Directorate / Information Services Group Full-time: 35 hours per week Open ended: permanent We are seeking a experienced Endpoint
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; the environmental effects of international trade, and; the relationship between trade policy and industrial policy. The work includes extensive cleaning, merging and preparation of large micro data sources
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trade staff, acting as a key customer contact for a large diverse portfolio of the University’s buildings. You will also be responsible for the management of specialist contractors. You will lead, manage