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leading role in the analysis of host-response genomics in large patient cohorts, including those from recent and ongoing Covid-19 studies. Working with clinical outcome data, you will perform genome-wide
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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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economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel where this project will be conducted
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largest academic research institute in Europe specialising in all aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and
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21 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom
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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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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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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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practical workshops, and we recently partnered with KCL’s Spatial Biology Facility , an advanced centre equipped for high-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records