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forecas ng using crop growth models, machine learning, and data assimila on methods. The successful candidate will contribute to the development and implementa on of advanced models and algorithms
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interdisciplinary team working on an innova ve project aimed at improving crop growth monitoring and yield forecas ng using crop growth models, machine learning, and data assimila on methods. The successful candidate
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growth models, remote sensing data, data assimila on, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and tes ng sta s cal
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". This project aims to revolu onize agriculture in Morocco by combining cu ng-edge technologies, including crop growth models, remote sensing data, data assimila on, machine learning, and seasonal weather
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analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent communication