200 phd-biomedical-signal-processing Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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/residues. Recover valuable components, metals, and/or materials from industrial and mining wastes/residues Collect samples, propose new ideas and develop innovative processes in the field of waste/residue
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to scientific publications and project reporting. Candidate Profile PhD in electrochemistry, chemical engineering, materials science, or a related field. Hands-on experience with electrodialysis, electrochemical
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databases Conduct ethnobotanical field surveys Elaborate atlas botanical book including design and content Data scheduling, collection, analysis, interpretation, and presentation. Supervise PhD and Master
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academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on
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optimizing treatment processes that use calcium carbonate-rich materials extracted from phosphate mine waste. These materials will be assessed for their capacity to neutralize acid gases (SOx, HF) emitted from
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successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems
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) at Mohammed VI Polytechnic University (UM6P) in Laayoune is seeking applications for a Postdoctoral Researcher in the field of Fungal Biotechnology and Biomass Valorization. Candidates should hold a PhD in
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of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python
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African agriculture. Water treatment and management which is oriented towards the development of cost-effective desalinization processes for agriculture and other uses, Renewable energy that aims
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities