214 algorithm-development-"Prof"-"Prof"-"Prof" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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and innovation at the service of education and development for Morocco and the African continent. It has a state-of-the-art campus at the heart of the Green City of Benguerir, near Marrakesh. UM6P
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,https://www.um6p.ma/en ) is an international higher education institution, established to provide research and innovation at the service of education and development for Morocco and the African continent
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work
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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow
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researcher to join a multidisciplinary research project dedicated to the sustainable valorization of potash resources such as carnallite ore. The successful candidate will lead research efforts to develop
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valorization of potash resources such as carnallite ore. The successful candidate will lead research efforts to develop efficient beneficiation and purification processes for recovering potash and associated
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. The candidate will need to master sensor technologies, embedded systems, and communication protocols, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions
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engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields
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aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African
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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage