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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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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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or habitats knowledge of data analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity
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analysis, using proprietary and open-source GIS platforms. Advanced courses include GIS Programming (Python & Java) and Web GIS, with attention to rapidly growing technologies such as cloud-based development
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information about Gies Business, visit https://inside.giesbusiness.illinois.edu/work-at-gies . For more information on Civil Service classifications, please visit the SUCSS web site at https
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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modelling and statistical and GIS software (R, QGIS/ArcGIS, Python). - Excellent scientific writing and communication skills in English and Spanish. Specific Requirements • Doctorado en Programas de
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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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on spatial reasoning, semantic technologies and AI for geosciences. Where to apply Website https://www.academictransfer.com/en/jobs/356999/phd-semantic-modelling-of-geoda… Requirements Specific Requirements A
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS