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- École nationale des ponts et chaussées
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Field
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socioeconomic and environmental data. • Development and application of indicators to measure social and environmental justice in 15-minute city scenarios. • Integration of spatial data (GIS) and sources
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GIS applications (e.g., ArcGIS) and the integration of geospatial data for analyzing spatial patterns of inequality, innovation, or business activity. Demonstrated ability to work with U.S. Census and
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, crop yield). -Familiarity with geospatial data and tools (e.g., GIS, QGIS, Google Earth Engine). -Knowledge of explainable AI (e.g., SHAP, LIME), model interpretation, and/or uncertainty quantification
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geodesic equipment, experience in operating measurement systems (GPS, total station, photogrammetry) and in their digital processing; experience in spatial data analysis (GIS, cartographic systems, spatial
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information systems (GIS), and handling large spatial datasets is essential. Strong written and oral communication skills, along with the ability to work collaboratively within a multidisciplinary research team
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 14 hours ago
hydrology and social geography. Proficient in geographic information systems (GIS) and spatial data analysis. Experience in workshops organisation Good French speaking and reading capacities and good English
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skills (one or more of the following strongly desired) Exploratory analysis of massive datasets (machine learning methods) Spatial data analysis and Geographic Information Systems (GIS) Forecasting and
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the human GI tract. Experimental work may include the cultivation and phenotypic characterization of bacterial strains, or molecular studies involving expression, purification, and characterization
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), or Remote sensing and GIS We welcome innovative research ideas beyond these examples, provided they align with the broader themes of ecosystem processes and disturbance ecology. The anticipated project
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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS