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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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key leaders in the field of applied R&D. The main areas of activity will be, but not limited to: Chemical and biotechnological processes Urban mining Material processing technology Sustainable energy
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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must demonstrate a strong understanding of sedimentary basins, excellent proficiency in analyzing the different facets of hydrocarbon reservoir systems, interpreting seismic data, and applying structural
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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of wastes/residues from mining and industrial sites. Conduct analytical measurements, collect research data and data interpretation. Write scientific articles and reports and assisting in the preparation
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, analyzing, and using multimodal multichannel data (e.g., log files, eye tracking, physiological sensors, facial expressions of emotions, etc.) across different advanced learning technologies (e.g., game-based
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. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be
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. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data