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at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD
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allocation, Machine learning, Wireless communication. The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco. Applications
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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Climate Science, Hydrology, Environmental Science, or a related field. Experience in machine learning or AI applications in hydro-climate studies. Strong background with GIS tools and spatial analysis
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
spectroscopy for multi-scale soil fertility mapping and assessment, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML
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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
crop growth and yield, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and
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’ application. An indoor system with (i) the phenotyping machines, "PhenoMerzouga.v2", which is a small-scale lysimetric system for simulating climate change scenarios, and (ii) 150 m² of growth chambers and
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crop growth and yield, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and
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hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and accurate estimation of important
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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