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“Process metallurgy research group ” conduct research and education within the subject areas iron and steel metallurgy, base metal metallurgy, hydrometallurgy and recovery of minerals and metals from
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mining. Project description The knowledge of the mechanical behaviour of tailings is the background of all safety and risk analysis related to tailing dams independent of their construction methods. It is
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well-equipped laboratory facilities for research and a good inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which
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cybersecurity team at Luleå University of Technology and also our partner within Cybercampus Sweden, RISE. We will use methods and technologies including expert systems, evolutionary algorithms, machine learning
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include: -Investigate and develop cloud platform to support elastic and cost-efficient AI operations regarding climate change management. -Investigate and develop methods to support user-centric immersive
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include: -Investigate and develop cloud platform to support elastic and cost-efficient AI operations regarding climate change management. -Investigate and develop methods to support user-centric immersive
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future product owners and users is a key factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students. Duties As a PhD student, you work towards
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working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key factor to the
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factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students. Duties As a PhD student, you work towards a Doctoral degree as the final goal
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working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key factor to the