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and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor
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use, C and N stocks and isotope composition will be assessed. Rates of soil C change will be used to estimate the contribution of both strategies (pasture recovery and ICLF systems) to climate change
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journals. Fluent in French and English. Experience of working as a member of a multidisciplinary team. Ability to write publications, reports and projects. Oral and written communication skills. Computer
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is seeking a post-doctoral fellow in Modeling and Crop Yield Prediction in Africa. The candidate will have the objective of developing models for estimating and predicting the yields of targeted crops
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. The successful candidate will work on implementing a hybrid modeling scheme driven by remote sensing data to enhance the estimation of some of the significant water balance components. The candidate is expected
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used to estimate the contribution of both strategies (pasture recovery and ICLF systems) to climate change mitigation in Brazil. Besides being critical to Brazil achieve iNDC commitments, such effort