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of the whole Lower Paleozoic in Norway with detailed field studies to fill in gaps in present knowledge. The supervision will mainly be done by Prof. Øyvind Hammer, Prof. Jørn H. Hurum, and Assoc. Prof. Kjetil
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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modelling and simulation of three-dimensional turbulent reacting flows in a CFD code is a requirement. Applicants must be able to work independently and in a structured manner and demonstrate good
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of flame acceleration and detonation phenomena and/or numerical modelling and simulation of three-dimensional turbulent reacting flows in a CFD code is a requirement. Applicants must be able to work
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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. Experimental work could include the design, construction, and testing of prototype storage systems, while simulation efforts may focus on thermal modelling, system optimization, and safety analysis
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior
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on Arctic temperatures, and to upgrade seasonal sea ice forecasts from state-of-the-art modelling systems by assimilating summer ice thickness observations. The role of this position is to support the
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of the art in mathematical and numerical modelling of CO2 storage? This might be the right position for you! About the project/work tasks: About the project TIME4CO2 TIME4CO2 aims at advancing simulation
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areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as