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collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral processing, mining, chemical or
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supports, nitride-based materials, and hierarchically structured porous materials for CO2 hydrogenation reactions using photo- or thermal catalysis. The successful candidate will be involved in optimizing
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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dedicated to advancements in sustainable energy through innovative research and training. Our focus lies in the design, development, and optimization of inorganic materials for various sustainable energy
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optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring that the coatings maintain their structural
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embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and
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, including experts in mineral engineering, chemistry, and process optimization. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding applications
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Postdoctoral Researcher positions to support its growing research portfolio in renewable energy-driven water production and condensation-based system optimization. The positions are designed for early-career
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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mark on the national, continental, and global stages. Job Description: We are seeking a postdoctoral researcher specialized in the modeling and optimization of waste management systems. The successful