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of commencement of employment. Research experience to include: Experience of anaerobic microbiology and in vitro technologies Experience in designing experiments and statistical analysis Demonstrable computational
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Health/Public Health Experience of conducting and analysing longitudinal research Breadth and depth of experience of using statistical software (SPSS/STATA/SAS/R/Mplus) Experience of data handling
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proteomics. Practical experience in processing, recording and handling data sets, and performing statistical analysis. Strong publication record in peer reviewed journals. Experience with data analysis using
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/ Research Fellow in Medical 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
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perform data analysis in large cohorts of samples and will be required to provide statistical analysis as appropriate. The successful candidate will be responsible for providing support for the generation
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application should clearly demonstrate that you meet the following criteria: A primary degree or Master’s degree in health, social sciences, public health, or statistics related subject. Have or be about to