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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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. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized
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challenges in terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security
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international level, to address the UM6P challenges in terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
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crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC), overall health, and more. For instance, in electric vehicles, the BMS carries out
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education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating
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., Sentinel-1, Landsat, Sentinel-2) and other remote sensing data sources. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is
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of the AI algorithms. Key duties Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow