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battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC), overall health
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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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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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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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. 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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algorithms in various projects. Contribute to the supervision of doctoral students and interns at the center. Participate in the training courses organized by the center. Work on collaborative projects with
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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
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modify existing methodologies/loss-functions/algorithms/systems in order to achieve the business-results while managing operational risk. Experience with software REST API design. Prior exposure
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Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification. Collaborate with international research teams and contribute to joint publications and