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The successful candidate will be associated with the research project on the development of metal-organic frameworks (MOFs) and composites for water purification and removal of micropollutants such as PFAS, amines
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and performance optimization. The position is specifically designed for a candidate combining hands-on experimental competence, Python-based simulation and data analysis expertise, and experience in
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at the university campus in Stavanger. The core element of this PhD project is to use physics-based and data-driven modeling approaches for developing accurate models for real-time optimization and control
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education. Research topic The PhD Fellow will be affiliated with the research project “Resuscitation data analysis”, which is a collaboration between researchers at Department of Mathematics and Physics and
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engineering, chemistry, and sustainable water systems. Our research spans from chemical synthesis and materials development to environmental analysis, water quality, environmental monitoring, and sustainable
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of a highly interdisciplinary AI ecosystem at UiS through Stavanger AI Laboratory and the groups Information Access and AI (IAI) , Biomedical Data Analysis Laboratory (BMDLab ), and collaborate
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in theories and methods on narratives and imaginaries in regional development. The candidate must also have solid competence in qualitative methods, especially content analysis, interpretive and
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, led by the University of Stavanger. WP2 focuses on comparative analysis of urban morphology, accessibility, and mobility cultures in Norway, Sweden, and South Korea. The project combines GIS-based
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through applied econometric analysis, data-driven approaches, or more theoretical economic modeling. The position also provides opportunities for international research stays (for example, at the University
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background who have completed a five-year master degree within risk science (risk analysis, risk management), preferably acquired recently; or who possess corresponding qualifications that could provide a