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for data science (Python, R, SQL, PostGIS, GeoPandas, etc.). Knowledge of urban models and spatial analysis tools (urban growth models, accessibility, change detection, etc.). Ability to work with
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with programming languages such as Python and SQL. We work with very large spatio-temporal datasets, so concrete experiences with spatial data tools such as PostGIS and QGIS are beneficial. Time-series
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. Software and programming experience may include: R, STATA, Esri Arcmap, python, Leaflet, PostgreSQL, CSS, JavaScript, JQuery, Bootstrap, PHP, QGIS, PostGIS, Mapserver, Tableau, Openlayers, Geoserver, R Shiny
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SQL) is required. Experience with geospatial databases (e.g. PostgreSQL and Postgis) and webGIS development (e.g. Mapserver and Geoserver) is desirable.PD#2 – Remote sensing applied to multiscale