217 phd-in-architecture-interior-design-built-environment Postdoctoral research jobs in Morocco
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. This position aims to advance innovative solutions that promote sustainability in the built environment, focusing on the effective integration of renewable energy, resource efficiency, and waste reduction
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infrastructure. It has built a robust academic and research network and is committed to recruiting high-quality academics and professionals to contribute to its dynamic, quality-driven research environment. Job
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Location: School of Architecture, Planning and Design (SAP+D), Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco Contract Type: Full-time, Fixed-term (24 months) Start Date: As soon as
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international conferences. Designing and teaching academic courses related to urban heritage, spatial justice, or affiliated domains. Required Qualifications PhD in Architecture, Urban Studies, Geography
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Introduction UM6P Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields
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development. With state-of-the-art infrastructure, UM6P has built a strong academic and research network and seeks to recruit high-quality professionals to enhance its research- focused environment, based near
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in
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research and innovation to support education and sustainable development, UM6P boasts a state-of-the-art campus and infrastructure. It has built a robust academic and research network and is committed
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sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and research network and seeks to recruit high-quality professionals to enhance its research- focused environment
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph