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condensation-based system optimization. The positions are designed for early-career scientists with a strong background in thermal sciences, energy systems, or water technologies, and a demonstrated ability to
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on the effective integration of renewable energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected
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, and optimization of inorganic materials for various sustainable energy processes. We work diligently to contribute to the competitiveness of Moroccan and African companies by conducting research across
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dedicated to advancements in sustainable energy through innovative research and training. Our focus lies in the design, development, and optimization of inorganic materials for various sustainable energy
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(Postdoctoral Position) Availability: Immediate Required Level: PhD in Cell Biology, Biotechnology, Biochemistry, or a related field Main Responsibilities: We are seeking a motivated postdoctoral researcher to
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Protein Purification Location: UM6P – Benguerir Contract Type: Fixed term (Postdoctoral Position) Availability: Immediate Required Level: PhD in Cell Biology, Biotechnology, Biochemistry, or a related field
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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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Postdoctoral Researcher positions to support its growing research portfolio in renewable energy-driven water production and condensation-based system optimization. The positions are designed for early-career
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for the design, analysis, and optimization of energy networks in urban environments. We are seeking a dynamic and motivated specialist to join our research team on urban energy networks management. The selected
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. Environmental Impact: Ability to analyze the environmental and climatic impacts of waste management systems. Personal and Organizational Qualities: Strong ability to model complex systems and propose optimal