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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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, 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 rock, can be reused
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will do Interpretable machine learning is a growing research area, with important applications in the biological sciences, such as understanding how different genes regulate each other within biological
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duties related to Databases, Data Mining, and Information Retrieval. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission
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duties related to Databases, Data Mining, and Information Retrieval. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Methodology Development for Utilisation of Mining Waste (waste rock and tailings
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long-term radionuclide retention in soils impacted by uranium mining activities and, more broadly, in NORM/TE-NORM environments. The candidate must: - Hold a Master's degree or equivalent in the field
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Mining Engineering - IV-26/26 Apply for this job See advertisement This is NTNU
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, interpretability) to ensure equitable performance across diverse populations and compliance with regulatory expectations. Advancing methods for personalized risk assessments, with a focus on sex/gender differences
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing