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integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to
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: The selected candidate will be expected to: Conduct a field survey from farmer fields to obtain samples, and prepare a map of sampled areas within the project mandate, considering the landscape, field plots, and
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. • Strong expertise in geospatial data analysis and machine learning techniques applied to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth
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to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth Engine. • Programming skills in Python or similar scientific computing environments
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French and/or Arabic is highly desirable. Desirable Skills and Assets Familiarity with Moroccan or North African urban contexts. GIS or mapping skills are a plus. Experience in community-engaged research
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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soil mapping with specific responsibilities as presented below: Conduct research on the development and application of spectroscopy methods such as near infrared and FTIR as alternatives to traditional
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trace elements (ICP–MS); Sulfur isotopes (EA–IRMS) Integrate and interpret multidisciplinary datasets to characterize controls on native sulfur formation, produce prospectivity and risk maps at basin and
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coastal experiences Smart marina services and digital interfaces Mobility and accessibility systems for coastal visitors and yacht clients Map and re-design user journeys for tourists, yacht owners, crews