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to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole electromagnetic data during drilling. This includes the further development
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the project/work tasks: The overall goal of this PhD project is to develop methodologies for real-time modeling and inversion of geophysical well logs, with a particular focus on borehole
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directly can be incorporated into the model to improve simulation results. The work being conducted will therefore benefit mathematical fundamental research through modeling and numerical solution strategies
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Language requirement
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Language requirement
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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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candidate will work in an interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be experimental, to conduct hydrate sealing
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project´s overall objective is to provide an experimental and numerical framework to predict CO2 gas hydrate self-sealing in geological formations. Our multi-scale approach is cross-disciplinary and aims
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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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how people estimate quantities. The project combines theoretical modeling with behavioral experiments to advance our understanding of the cognitive processes that connect our sense of magnitude with