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build the sustainable companies and societies of the future. In line with the green transition and the striving for a sustainable supply of critical raw materials, our research in mineral processing
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of battery materials, processing, cell manufacturing, and digitalized production — and help build a resilient and sustainable battery future. RECAT at Luleå University of Technology drives the next generation
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build the sustainable companies and societies of the future. In line with the green transition and the striving for a sustainable supply of critical raw materials, our research in mineral processing
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build the sustainable companies and societies of the future. Join us to explore the frontiers of battery materials, processing, cell manufacturing, and digitalized production — and help build a resilient
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positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and creative candidates with
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been established in the control, monitoring and optimization of complex dynamic systems in mining, energy, automotive, food, agriculture and process industry. As part of RECAT, you will collaborate with
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build the sustainable companies and societies of the future. Subject description Machine learning focuses on computational methods by which computer systems uses data to improve their own performance
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engineering subjects such as ore geology, geophysics, rock mechanics, rock engineering, geotechnics, mineral engineering, process metallurgy and applied geochemistry, as well as researchers from subjects
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of the specializations of the Luleå University of Technology node is process physics with a special emphasis on operation and production, an area in which we currently have an open position for an associate lecturer
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3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration