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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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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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of coastal and marine monitoring data Experience in numerical model data extraction with Python and data analysis in R as well as experience in spatial data analysis with geo-information systems (GIS
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well as European coastal and marine policies (especially EU-MSFD, EU-WFD and EU Nature Restoration Law) Experience in numerical model data extraction with Python and data analysis in R as well as experience in
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qualifications in probilistic risk modelling, applied statistics and familiar with quantitative risk modelling measures strong data analysis skills and proficiency in R and Python; experience with other programing