151 distributed-systems-networks-phd Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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. Evaluating environmental sustainability via Life Cycle Assessment (LCA) and techno-economic analysis. Contributing to the integration of vanadium flows within a circular economy model for battery materials
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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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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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher education. Its educational system is based on the highest standards of teaching and
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research in areas of priority to the economic development of Morocco and Africa. Our young university is building a renowned international academic network, supported by a teaching and research staff with
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Entity: ASARI-UM6P Laâyoune, Biorefinery and Bioenergy research program About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is
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. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and
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research in areas of priority to the economic development of Morocco and Africa. Our young university is building a renowned international academic network, supported by a teaching and research staff with
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Global South perspectives. Excellent writing and communication skills in English; proficiency in French and/or Arabic is highly desirable. Required Qualifications PhD in Architecture, Urban Studies
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning