198 phd-mathematical-modelling-population-modelling Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P
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embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and
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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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. This might include A PhD in a relevant field such as mechanical engineering, materials science, or biomedical engineering, or a related field. Strong background in materials characterization and manufacturing
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research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration
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places research and innovation at the heart of its educational project as a driving force of a business model. It focuses on applied research and innovation both in Morocco and Africa. The university is a
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a new generation of African Atmospheric Scientists and faculty members. Research endeavors primarily focus on experimental and Modelling aspects. A notable characteristic of the Centre’s research is
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. Contribute to the supervision of master and PhD students. Qualifications: Ph.D. in Earth Sciences, Remote Sensing, Physics, Applied mathematics, or related field. Strong background in land surface modeling