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viability using multiple detection techniques (FACS, microscope, spectrophotometer). Collaboration on the analysis of created bacteria in Zebrafish models. Analyse data, contribute to scientific publications
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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exciting opportunity for a quantitative Research Assistant to work across two projects. 1. The RA will work with linked data from the SEPMD study (mental health linked to census data) to lead data analysis