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, as is knowledge of GIS or quantitative data analysis. The successful applicant is expected to work independently as well as collaboratively within an international research team. Strong analytical
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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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23.04.2024, Wissenschaftliches Personal We are offering one postdoc position to a highly motivated researcher with a background in geography and urban ecology with experience in modeling, GIS and