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with colleagues from RWTH Aachen and visit their facilities. The aim in this PhD project is to conceptualize and model the asynchronous architecture for future power grids. As we depart away from
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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applications for one to two vacant PhD scholarships within the the research area of Security and Risks to Democracy. The expected start date is 1 October 2025. The Department is currently developing a research
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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, you will be investigating if the current metrics for accessing code quality are valid, and then you will be improving them using programming language techniques. Your goal will be to measure the effect