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composites, and sustainable materials. With over 70 researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job Description: We
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to the Jorf Lasfar Supply Chain Mohammed VI Polytechnic University (https://www.um6p.ma/en ) is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with
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AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and collaborate with engineers to implement advanced ideas
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sustainable and optimized processes for vanadium extraction and purification, with the goal of enabling large-scale redox flow battery deployment for energy storage. Scope of Work The successful candidate will
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composites, and sustainable materials. With over 70 researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job Description
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process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste processing and valorization; Operate and maintain mineral processing and analytical instruments; Design and
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biological approaches, with the objective of identifying optimal pathways for resource recovery. The project will also focus on the combined treatment of phosphogypsum and brines, studying the synergistic and
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically