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of affiliation is retained. TEACHING ACTIVITIES Teach physics in the first and second years of the Integrated Preparatory Cycle: mechanics, electricity and electronics, electromagnetism and optics, wave physics
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of affiliation is retained. TEACHING ACTIVITIES Teach and coordinate the modules in industrial instrumentation, measurement and data acquisition, process control and automation Teach and coordinate the process
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of affiliation is retained. TEACHING ACTIVITIES Teach and coordinate the unit operations and separation processes modules of the Engineering Cycle, together with the introductory reactor engineering content, and
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industrial applications. Contribute to the development of scalable and interpretable AI tools for real-world deployment. Qualifications: A PhD in Computer Science, Machine Learning, NLP, or a related field
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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The successful candidate will contribute to the following research axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate
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to the final defence, including team organisation, milestones and assessment rubrics Teach and coordinate the process design content associated with these projects: engineering design tools, material and energy
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CBS - Development and Optimization of Separation Processes for Water Treatment and Resource Recovery
About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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About Mohammed VI Polytechnic University (UM6P): Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system
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(especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems