96 digital-biosignal-processing Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning
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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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minimizing its energy consumption and carbon footprint. Activities and Responsibilities Optimization and Improvement of Logistics Processes Analyze routing, storage, and loading flows. Identify optimization
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exploration and characterization of igneous systems. The successful candidate will join a dynamic research group focused on advancing our understanding of carbonatite geology, mineralization processes, and
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Rehabilitation Best Management Practices Species Conservation and Introduction Agricultural Systems Development Small-Scale Mechanization and Digital Farming By-product Valorization and Carbon Sequestration
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, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes for vanadium extraction and purification, with the goal
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such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows. Assess the effects of water management strategies
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sustainable mineral processing. This research project focuses on the development, characterization, and application of bio-based flotation additives to improve the enrichment and beneficiation of phosphate ores
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing