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skills Proficiency in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS
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intervention programs Contributing to the design of a GIS-based decision-support platform that integrates asset data, intervention plans, and uncertainty analytics Validating the developed methods against
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grasp of machine learning, computer vision techniques, statistics, and signal processing High proficiency in programming environments (e.g., R, Python) and spatial analysis tools (GIS) Good knowledge
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