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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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present results at conferences and workshops. Mentor master students and PhDs Qualifications: Ph.D. in Remote Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong
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fertility management and remote sensing research experts who seek to develop precise fertilizer recommendations and regenerative cropping systems in arid-saline conditions of Morocco. We seek a highly
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and avoid indirect land use emissions from the clearing of new forests. Requirements Programming skills, preferably in Fortran, Python / R Knowledge of remote sensing data processing and analysis