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Seeking a post-doctoral fellow to develop crop yield prediction models in Africa. Requires Ph.D. in Agronomy or related field, expertise in geospatial analysis, machine learning, and programming.
Monitor agricultural emissions in Africa using satellite data, atmospheric modeling, and deep learning. Requires Ph.D., programming skills, and experience in remote sensing or machine learning.
Contribute to interdisciplinary research on Earth Observation, AI, and sustainability in Africa, focusing on climate, urbanization, and resource systems. PhD and publication record required.
Postdoc: quantify uncertainties in multi-scale climate models of extreme precipitation (Morocco). Use CMIP6/RCM/CPM, downscaling, EVT; strong Python/Fortran & HPC.