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are looking for a passionate PhD candidate in Thermal Energy Systems with strong programming, optimization, and dynamic analysis of energy systems. This position is on the Horizon Europe-funded project
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on generating new knowledge for optimizing biological conversion of carbon dioxide to acetic acid in close collaboration with an industrial end-user of the developed technology. Responsibilities and tasks Your
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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efficiency will be studied. In addition, the effect of the AOP on the overall water quality (physico-chemical and microbiological) will be evaluated and the potential for optimizing the AOP conditions by
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objective is to surpass the current traditional thermodynamic and optimization approaches, which are constrained in design discovery capabilities and long-term TES performance evaluation. Through your
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are carried out in direct collaboration with industry to a great extent. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD