125 cognitive-radio Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods for large-scale cathode material production. Collaborations and Knowledge Transfer: Work
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scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas
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scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas
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, knowledge sharing, and infrastructure development. The candidate will also contribute to: Facilitating collaboration among research groups in battery recycling. Assisting in the development of large-scale
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material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods for large-scale Na-ion cathode material production. Collaborations and Knowledge Transfer
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sustainable solutions to urban economic and financial challenges. Knowledge of Africa: Knowledge of economic and financial contexts in African cities or a strong interest in working on projects in Africa
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work in dynamic and constantly evolving research environments. Innovation: Creative and innovative mindset with a passion for finding sustainable solutions to urban energy network challenges. Knowledge
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. Additionally, knowledge of gas-phase reaction product analysis using micro-GC and FTIR is essential. A solid understanding of general material synthesis is also mandatory. Candidate Profile: Hold a PhD in
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, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors
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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