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statistical expertise and collaborative support for clinical trials and research conducted within the School of Life Course and Population Sciences. They will be responsible for supporting research
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Statistics. The postholder will join the research team led by Dr John Busby and Prof Liam Heaney working on several projects related to chronic inflammatory disease, with an initial focus on chronic
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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successful candidate will: Have extensive experience with qualitative research including study design, data collection, and data analysis. Have high analytical experience to analyse and interpret statistical
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not limited to: Advanced electromagnetics methods for universal channel modelling, numerical methods for wave propagation in complex environments, statistical electromagnetics, computational
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electromagnetics methods for universal channel modelling, numerical methods for wave propagation in complex environments, statistical electromagnetics, computational electromagnetics, implementation of full-wave