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engineering. Together, we aim to drive sustainable solutions using algae for a greener future. We look forward to welcoming a dedicated and innovative researcher to our team. Application procedure: Applications
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/residues. Recover valuable components, metals, and/or materials from industrial and mining wastes/residues Collect samples, propose new ideas and develop innovative processes in the field of waste/residue
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field. Strong background in machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency
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an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the Sustainable Materials
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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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separation, or membrane processes. Strong knowledge of ion transport mechanisms and membrane behavior. Familiarity with analytical tools Skilled in setting up experimental systems and troubleshooting
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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