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energy systems, including retrofitting strategies in brownfield settings, is considered highly relevant, as is previous work with market-driven operation and optimization of integrated electricity–cooling
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integrated energy systems that support the green transition. Your work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated
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and power (CHP), and application-specific energy storage systems. We are also exploring how quantum computing can unlock new optimization and control strategies in future power systems. Our projects
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-supervising master and PhD students Applicants should demonstrate: Strong experience in techno-economic modelling and system optimization Solid understanding of CCUS Experience with energy system modelling and
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make
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sluice, which will then be used in a learning framework to design an automatic controller to optimize the usage of the sluice under various conditions. The other project will address challenges related