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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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opportunity to work in at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes
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, and data outputs are robust, version-controlled, and reproducible, adhering to FAIR (Findable, Accessible, Interoperable, Reusable) principles. Disseminate research findings through journal publications
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mathematics e.g. calculus and probability Ideally experience with command line and sequence analysis Good programming skills (e.g. R, Python, C/C++) Knowledge of basic statistics and application in R or similar