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. Excellent proficiency in spatial and statistical programming (e.g., R, Python, or Google Earth Engine). Proficiency in, and commitment to, version control (e.g., Git), reproducible research practices, and
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and attributes needed: Basic experience with GIS software such as QGIS, ArcGIS, or similar tools. Experience in coding and modelling in Python. Familiarity with file organisation, naming conventions
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