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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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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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, 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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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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the CoSTAR team led by NASA/JPL. Its applications include robotics for mining, aerial inspection of ageing infrastructure, autonomy for space robotics and multi-robot search and rescue. More
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machine learning, artificial intelligence, data mining or advanced statistical modelling have a good command of spoken and written English Desirable qualifications include: experience working with