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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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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
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the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with the goal of understanding how inflammatory processes intersect with
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science with bioinformatic component. Experience working with high performance computing (HPC) with large data sets is essential. Experience with pipelines for genomic sequence analysis from raw reads. Relevant
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Brunel University of London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information
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of catering for large numbers, managing staff and possess excellent customer service and team working skills. The position currently available is for 37 hours per week, on a 52 week (5 over 7), open ended