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modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in analysing and interpreting physical experiments. The PhD candidate will
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interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in
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evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions. The candidate will employ a range of cutting-edge
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numerical modelling. The PhD candidate’s tasks will primarily be experimental, to conduct hydrate sealing experiments on pore scale and core scale using MRI, but also to provide input for modelling and
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experiments on pore scale and core scale using MRI, but also to provide input for modelling and numerical simulations. The PhD candidate will collaborate with industry partners and take active part in a larger
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material design process. Some potential key research objectives: AI Model Development: Create machine learning models to predict FGM properties based on compositional gradients and processing conditions
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Multivariate Modelling for CO2 Capture Apply for this job See advertisement About the position TThe Faculty of Technology, Natural Sciences and Maritime Sciences has a vacancy for a temporary 100 % position as
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project called Commander, with Prof. Hans Kristian Eriksen serving as PI. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Project description
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG