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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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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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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
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. Maintain awareness of evolving cyber security and regulatory landscapes to inform risk management and governance. What you’ll bring: Experience of information and cyber security within a large organisation
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metabolism and lifespan, such as assessment of dietary patterns, assessment of biomarkers of healthy metabolism, diet associated diseases throughout the lifespan, nutritional epidemiology, typically from large
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The position: Space-based observatories have opened up large, new areas of astrophysical research. By far the largest part of the electromagnetic spectrum is accessible only from space and has
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Power BI, Tableau or Qlik Advanced knowledge of a range of tools such as SQL, Python or R, for the purposes of data analysis on large datasets and relational databases. Demonstrable experience
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estimation pipeline for large angular scale data returned by the SO Small Aperture Telescopes (SATs). The post holder will contribute to independent and original research within the Universe Community, submit
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The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype using Large Language