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-state batteries, green hydrogen and green ammonia production and storage methods. Through these activities, LIMSET plays a crucial role in shaping a cleaner, more sustainable energy future for Morocco
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focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction
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systems (software, platforms). Develop decision-support tools based on simulations for public and private stakeholders. Contribute to scientific publications and establish partnerships with public, private
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. Required Qualifications : Doctorate: A PhD in Industrial Engineering, Environmental Engineering, Waste Management, Data Science, or a related field. Modeling Expertise: Proven experience in designing
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. Candidates should hold a PhD in Natural products chemistry, Phytochemistry, Cell biology, Pharmacognosy, Cosmetology, or a related field. The successful candidate will focus on developing new formulations with
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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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to teaching activities or other transversal training. Disseminate research outcomes through participation in scientific events and publish in leading international journals. Desired skills and experiences: PhD
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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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separation and magnetic phenomena, as well as expertise in experimental methods to study the interactions between magnetic fields and solid and liquid materials. Additionally, knowledge of the physical and
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning