168 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions in Morocco
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closely with industrial partners to translate lab-scale innovations into commercial applications. Contribute to research grant applications and proposal writing. Mentor PhD and Master’s students in battery
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: Work closely with industrial partners to translate lab-scale innovations into commercial applications. Contribute to research grant applications and proposal writing. Mentor PhD and Master’s students in
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, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. About Entity (ASARI): The African Sustainable Agriculture Research Institute (ASARI) is a
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development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and
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boost its quality-oriented research environment in the metropolitan area of Marrakech. Job description: The Center for soil and Fertilizer research in Africa at Mohammed VI Polytechnic University (UM6P
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chemistry and other well-established solid-state methods. Required qualifications: The candidate must hold a PhD degree in Materials Science, Materials Chemistry, Inorganic chemistry, or related disciplines
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known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated
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qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis
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decision-support tools for sustainable and inclusive urban environments. Key Responsibilities: Digital Tool Development:Develop digital tools to monitor and analyze the determinants of urban health using
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system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting