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Practical experience in using big data sets for model evaluation Familiarity with statistical approaches used for model evaluation, including geostatistics and timeseries analyses The ability to use own
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Experience with working with large data sets and climate model outputs Analytical skills, including experience with multivariate analysis, time-series, and geospatial statistics Previous research experience
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to modelling vegetation Experience with working with climate model ensembles and large data Analytical skills, including experience with multivariate analysis, time-series, and geospatial statistics Previous
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to obtain) a PhD in atmospheric science, statistics, or a closely related subject (eg. in physics or mathematics) or equivalent research experience. Excellent numeracy and analytical skills. Ability to work