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an international multidisciplinary team tasked with developing data-driven decision-support tools to decarbonize mobile mining fleets. Focusing on strip-mining operations, your work will evaluate
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-support tools for decarbonizing mobile mining equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate
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with fellow researchers to interpret results and contribute to the writing of scientific articles. Candidate Profile: PhD in Geometallurgy, Geosciences, Mining Engineering, Environmental Engineering, or
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Field: Mining Engineering, Industrial Engineering, Data Science Duration: 12 months, renewable once. Location: UM6P, Benguerir Campus Preferred Start Date: As soon as possible Context and Objectives
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the operation, simulation, and/or data analysis of DUNE prototypes located at CERN. South Dakota Mines is located less than an hour’s drive from the Sanford Underground Research Facility (SURF), home of the DUNE
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and contributing to scientific reports and publications. 3. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Operations Research, Data Science, or a related field. Advanced expertise
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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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