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signal processing, and FPGA readout systems. Teach undergraduate and graduate courses related to semiconductor devices, analog electronics, signal processing, and FPGA-based systems. Mentored graduate
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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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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
photovoltaic installations in semi-arid post-mine environments. The objectives include soil stabilization, dust reduction, and the creation of a favorable microclimate to enhance the energy performance of solar
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and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in
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and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. Postdoctoral Research position: Proteomics and Drug Development. The Chemical and Biochemical Sciences-Green Process
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processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices
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modeling software (Datamine software, Leapfrog, Geovia, or equivalent). Experience with mine waste valorization and pilot process design is a strong asset. Proven publication record and project involvement
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities