131 master-degree-study-in-mechatronics Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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of electrochemistry, membrane science, and environmental engineering. Main Responsibilities Design and operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes
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experience in sensing. The candidate is recommended to demonstrate experience in sensing and undertake independent research, managing research activities of Master students, and supervising PhD students
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, or a related discipline. Proven expertise in machine learning/deep learning applied to chemical reaction prediction or retrosynthesis (e.g., reaction templates, template-free approaches). Proficiency in
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depending on satisfactory performance. Applications and selection procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mail subject. The folder
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sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results
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to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be
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of the additives in phosphate ore processing. Study the interaction mechanisms between additives and mineral surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization
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About UM6P Located in the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P) is a world-class higher education institution established to serve Morocco and the
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to propose new, original alternatives in terms of efficiency, environmental friendliness, and sustainability. CBS operates on the principle of partnerships with Moroccan and international universities
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multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring