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communication. Criteria of the candidates: PhD in Chemistry, Physics, Materials Science, or related disciplines, with a focus on inorganic materials and/or electrochemistry. Strong motivation and passion
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the context of thermal energy storage. Criteria of the candidates: PhD in Chemistry, Physics, Materials Science, or related disciplines, with a focus on inorganic materials and/or electrochemistry. Strong
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Qualifications: PhD in Geography, Urban Planning, Urban Sociology, Public Policy, or a related field. Expertise in social and economic geography to study territorial disparities. Understanding of key concepts
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economic factors to enhance urban resilience to water-related challenges. Key Responsibilities Develop models to simulate urban water flows, assess climate change impacts, and test innovative solutions
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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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. Prepare and submit high-impact scientific publications and present results at international conferences, workshops and meetings. Mentor master’s and PhD students as part of research activities. Collaborate
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candidate will: Undertake original research of international excellence. Set up of fuel cell testing plateform Support the appropriate equipment purchasing and ability to deal with international suppliers
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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 LLMs
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, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials