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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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monitoring using SAR and multi-spectral images, GIS, scientific programming - English proficiency, team work, reporting, redaction of scientific publication, organization and project management
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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference
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candidate will join an interdisciplinary research team hosted by the CRESAT laboratory, composed of the Principal Investigator (PI), a project manager, a GIS specialist, three postdoctoral researchers, and
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Investigator (PI), a project manager, a GIS specialist, three postdoctoral researchers, and several research assistants. In a context marked by renewed global interest in nuclear power and intensifying debates
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candidate will join an interdisciplinary research team hosted by the CRESAT laboratory, composed of the Principal Investigator (PI), a project manager, a GIS specialist, three postdoctoral researchers, and
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in ecological fieldwork, ideally in wet grassland or agricultural systems - Skills in GIS, remote sensing, and spatial data analysis (bonus: agent-based modelling) - Demonstrated ability to work in
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Hydrology, Water Resources Management, Environmental Sciences, or a related field. Experience with hydrological models (SWAT, MODFLOW). Skills in surface and groundwater management. Proficiency in GIS tools
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develop an end-to-end processing system as well as a hazard map visualization (Web and/or GIS); Publishing the various scientific advances in conferences and peer-reviewed journals. Where to apply E-mail
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and/or R languages • Proficiency in GIS software • Strong skills in remote sensing data processing (Lidar, satellite, drone) • Interest in agricultural and hydrological sciences