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. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data
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Mining Institute (GSMI) of the University Mohammed VI Polytechnic (UM6P) invites applications for a 24-month postdoc position in geochemistry with a particular emphasis on the Upper Cretaceous-Paleogene
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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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About UM6P: Located at the heart of the future Green City of Benguerir, MohammedVI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the...
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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the metropolitan area of Marrakech. About IAP: The UM6P Institute of Applied Physics constitutes a dynamic community comprising faculty members, students, postdocs, and administrative and technical staff, all
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description du poste Postdoc / Postdoc
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comprising faculty members, students, postdocs, and administrative and technical staff, all dedicated to UM6P’s mission as a student-centered research university. The institute's research focus lies in
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation