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We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods
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computational model to capture the complex transport of gases, liquids, and charges in these porous structures, including the complex interfaces between them. Insights from the model will directly guide the
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uncertainties about viable business models and reward structures. Your job This postdoctoral position is part of ReGeNL , a large national inter- and transdisciplinary research programme aimed at accelerating
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information is stored and retrieved, and how language use is intertwined with memory during communication. The model will be hybrid, merging linguistic factors uncovered in computational and theoretical
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The candidate based at CWI will have either a computer science or mathematics background, with a strong affinity for energy systems modeling, or an [electrical] engineering background, but with
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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter
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computational approaches to study social dynamics that shape behaviour. Using survey and registry data, the project will map social networks and develop agent-based models linking household preferences
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research program to improve the theoretical and empirical foundations of health economic modelling methods (e.g. Markov models, microsimulation, discrete event models, real-world data-based models), in
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systems modeling, or an [electrical] engineering background, but with an interest (or prior experience) in computational intelligence, AI and/or agent-based modeling techniques. He or she will work closely
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intertwined with memory during communication. The model will be hybrid, merging linguistic factors uncovered in computational and theoretical linguistics with general cognitive mechanisms. The overarching goal