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and model-based approaches to design and evaluate resilient reconfigurable manufacturing systems. The methods will be co-developed and validated with several industrial cases. 2) Resilient planning
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simulation techniques and molecular mechanics principles (especially applied on water and hydrogen bonding systems). Thermodynamic modeling and applied physical chemistry for industrial applications. As a
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using the EC-Earth earth system model, running simulations to test the robustness of Arctic-lower-latitude interactions in collaboration with colleagues at the Danish Meteorological Institute. Investigate
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using the EC-Earth earth system model, running simulations to test the robustness of Arctic-lower-latitude interactions in collaboration with colleagues at the Danish Meteorological Institute. Investigate
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analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical models to quantify phenological responses. Collaborate with internal
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manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient reconfigurable
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simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market
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development of our hybrid power plant simulation models and controllers, mainly the plant level controllers taking into account the interaction with commercial wind turbine, PV systems, battery system and their