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Postdoc position in Mining and Rock Engineering - “Advanced data mining of computerized mining equipment in underground mines” Lulea Reference number 3320-2026 Do you want to develop your research
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apply for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and
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PhD Student in Mining and Rock Engineering with special focus on underground hydrogen storage Lulea Reference number 4286-2026 Are you ready to take the next step in your academic journey? As a
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sensing. Background We are looking for a postdoctoral researcher to tackle a hard and impactful sensing problem: developing machine learning approaches for turning the vibration signals of mining machines
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research project on natural hydrogen resources and underground hydrogen storage. We are seeking a motivated PhD candidate in Mining and Rock Engineering to contribute to interdisciplinary research spanning
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their application technologies, recycling and reuse, and applied building physics, especially focusing on the Arctic conditions. Project description This research explores how mining waste, such as
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technologies, recycling and reuse, and applied building physics, especially focusing on the Arctic conditions. Project description This research explores how mining waste, such as tailings and waste
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mining industry, infrastructure construction, acid sulfate soils and sulphide-bearing rocks. Special focus is put on Critical Raw Material (CRM, incl. e.g. REE, W, V) mobilization in the environment
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, calcination of limestone, and the negative effects of mining operations. Several solutions are being implemented worldwide, but none have provided an efficient solution. This project aims to study the
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advanced data‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the