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. You should have an interest in integrated modeling that combines models from disciplines (water quality and GIS) and in working with large datasets and numerical models. As part of this project, you
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background in quantitative methods and statistical analysis; programming skills (Python, R, Matlab, or any related language), previous experience with large data analysis and/or GIS are an advantage; excellent
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(WOFOST, DSSAT); Proven skills with scripting and programming (e.g. Python, R, GIS); Ability or willingness to learn about AI/ machine learning; Experience with the visualisation of results to facilitate
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