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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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innovative and efficient sensing platforms using advanced manufacturing techniques and strategies. The sensor platforms will leverage miniaturized, low-cost, and efficient components, utilizing state
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solutions that support and promote smart and sustainable practices in industrial processes. The successful candidate will develop innovative and efficient sensing platforms using advanced manufacturing
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. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding applications. Collaborate with project partners and compile, analyze, and document research findings
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publications and technical deliverables. Work closely with fellow researchers to interpret results and contribute to the writing of scientific articles. Candidate Profile: PhD in plant ecology, soil science
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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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UM6P standards. Candidate Profile: PhD in plant ecology, environmental sciences, or a related field. Experience in phytomanagement, plant ecology and biology, revegetation of degraded sites. Knowledge
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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
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design and very good programming skills (Python, Pytorch). Excellent command of IT tools and perfect command of AI and Data Science tools. Profile required: PhD in computer science, specializing in AI and