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literature searches using relevant databases, developing study protocols, preparing surveys/experiments, managing and cleaning datasets, data analysis using R, data visualisation, and reproducible workflows
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processing environmental exposure and health administration data via Application Programming Interfaces (APIs) proficiency using statistical programming software such as R, SAS, STATA and Python; and GIS
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