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application process here. About the position Become a PhD within fire safety and CFD modelling of fire development. Fires cause deaths and injuries, economic and heritage losses and environmental harm. The risk
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up exciting career opportunities? Do you have a background in electrical engineering, energy systems, or physics, and are you interested in sustainable energy and mathematical modeling? As a PhD candidate with
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of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Associate Professor Valeria Vitelli. Successful
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of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data
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of Norway (NFR). DYNCAT aims to develop highly predictive, physics-based models to study and optimize the Rochow Mülller process, which generates the raw material for silicone production. The project will
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the original model and do not fully incorporate its core, evidence-based components. Common modifications include: enrolling children who are older than the recommended age range; providing fewer hours
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techniques such as GMAW and laser-arc hybrid. The study shall be supported by numerical modelling and thermodynamic calculations. In the next step, the welds shall be characterized using advanced microscopy
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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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must be passed in addition to the research work. The research work will be both experimental and modelling-based, including literature review, writing of papers and the final PhD thesis. Required