117 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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research and industrial-scale implementation, working on the design of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work with
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research and industrial-scale implementation, working on the development of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work
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Institute (GTI) at UM6P specializes in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy and low
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Technology Institute (GTI) at UM6P leads cutting-edge work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering
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stress. Responsibilities: Monitoring PV panels: temperature, efficiency, dust accumulation. Using environmental sensors and thermal cameras (UAV/IR). Comparative analysis of PV configurations: with vs
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networks, metabolic networks) to identify key disease drivers and biomarkers. Build predictive models for disease classification, patient stratification, and treatment response prediction. Collaborate with
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but appreciated). Position Details Contract: Full-time postdoc, 18-month fixed-term, renewable depending on project progress and funding. Facilities: Access to GSMI equipment and analytical platforms
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project exploring the intersection between urban heritage and spatial justice. The postdoc will work within a multidisciplinary research team and contribute to developing new theoretical, historical, and
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green
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real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic