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dedicate themselves to advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD in: Computer Science, Artificial Intelligence, Data Science or related fields
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dedicate themselves to advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD degree in Computer Science or Applied Mathematics Strong publication track record in
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and student internships Contribute to the outreach activity of the College: open days, orientation, secondary-school and alumni relations REQUIRED QUALIFICATIONS PhD in Chemical Engineering, Process
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. ABOUT MSN DEPARTMENT The Materials Science, Energy, and nano-engineering (MSN) is a department at Mohammed VI Polytechnic University that aims to makes use of innovative research and education in order to
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25 Jul 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Chemistry Researcher Profile Recognised Researcher (R2) Established
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Moroccan and African challenges. Its work spans four key areas: energy transition, surface technology, polymers and composites, and sustainable materials. With over 70 researchers and PhD students, and
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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at the Mohamed VI Polytechnic University (CESFRA) aims to evolve a continental hub of knowledge, skills, technology and information on soil suitability, land use and fertilizer development, which can be accessible
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, and sustainable agriculture, addressing critical challenges in nutrient use efficiency, water scarcity, and soil health. The candidate will play a pivotal role in advancing research objectives aimed
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for large scale applications. However, developing efficient positive electrode materials is a key factor in advancing this technology and promoting its use in practical applications. NaSICON (Natrium Super