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applications. Develop scalable EMT simulation methodologies for large transmission systems. Investigate model reduction, dynamic equivalencing and network partitioning techniques. Develop parallel and high
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. Three connected threads make up the research: Discovery: what patterns hide across the facets? - Using unsupervised machine learning (clustering, dimensionality reduction), topological data analysis and
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on the nuclear engineering aspects of flexible reactor operation. The work combines reactor physics, thermal-hydraulics, model reduction, and control design. The main research objectives are: Development of a high
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exchanger concepts with strong potential for industrial energy savings, lower carbon capture costs, and substantial reductions in CO2 emissions. The position is particularly suited for a candidate who enjoys