250 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions in Morocco
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. More than just a traditional
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an internationally oriented higher education institution dedicated to driving development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable
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to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus
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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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of teaching and research in fields related to the sustainable economic development of Morocco and Africa. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of
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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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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities