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expectations will include intermediate and advanced GIS courses, such as urban remote sensing, platforms like Google Earth Engine, GeoAI, and advanced Python programming. Preference will be given to candidates
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of Technology of Compiègne (UTC) is seeking an algorithm chain development engineer to join its Applied Mathematics Laboratory (LMAC) - Computer Engineering Department (GI), as part of the ANR INCA project
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frameworks Interest in the science-policy interface of sustainable development Good interpersonal and communication skills (both written and oral) in English Knowledge of programming languages such as Python
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 21 hours ago
; ability to deal with confidential information and/or issues using discretio. PREFERRED: Knowledge of Stata, Matlab, R, GIS, and/or Python and research experience, acquired through an RA-ship
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and developer on large scale GIS and remote sensing projects ● Design and implement advanced remote sensing workflows, including image preprocessing, classification, change detection, and time-series
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quality processes. • River basin management, river restoration, and green infrastructure design. • Geographic Information Systems (GIS), spatial analysis, and environmental mapping. • Programming and use
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experience using Python and related tools. -Manejo de herramientas de visualización, mapeo y análisis espacial (como GIS) para el apoyo a la planificación y toma de decisiones en entornos urbanos
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. Experience with trait-based ecology, ecometric or functional-trait modeling, or macroecological analyses. Experience with R, Python, or equivalent programming languages for statistical and spatial analyses
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documented interfaces. Develop Python scripts and toolchains that integrate GDAL libraries, GIS processing engines (such as ArcGIS, QGIS, or ENVI), and custom analytical modules to perform: Geometric accuracy
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processing from sources such as vehicle telemetry, traffic APIs (e.g. TomTom), GIS, GPS, OpenStreetMap, Ordnance Survey data - including building and managing scalable data pipelines, designing database