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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is
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languages, GIS and agricultural and flood modelling software is desirable primary data collection skills Ability to manage projects and contribute to research proposal development is an asset Work experience
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