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Office skills. Skills in data manipulation tools and/or programming languages such as Cognos, Power BI/Power Query, PySpark, SQL and R Desirable: Experience with data integration and ETL tools such as
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numerical analysis or modelling of (palaeo)environmental data using R/python/Matlab or similar platforms. Experience with sediment analysis, which may include palaeoecological techniques, sedimentology
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/statistics, ideally with high-throughput phenotyping datasets, including experimental design and longitudinal data analysis. Demonstrated experience in using R software packages to analyse longitudinal data
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