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in cohort studies related areas, ideally using R, or analogous programs good understanding of causal inference in epidemiology ability to demonstrate sound understanding of the ProPASS consortium
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handling and data transfer between external and internal University systems About you undergraduate qualifications in a relevant quantitative field experience using R, Python or other high-level programming
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of multiparametric data (e.g., GraphPad Prism, R Studio) including proteomics, transcriptomics, and/or datasets from high content imaging. ability to work independently and multi-task experiments while meeting
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for the statistical analysis and visualisation of data (e.g., GraphPad Prism, R Studio). To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff
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software for the statistical analysis, interpretation, and visualisation of multiparametric data (e.g., GraphPad Prism, R Studio) including proteomics, transcriptomics, and/or datasets from high content
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language (eg. python, R), with a creative and flexible approach to method development demonstrated ability to work in a team, collaborate across disciplines and build effective relationships a basic