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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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be utilized to optimize the human comfort in combination with energy efficiency. The first part of the PhD will be the optimization of a web application used to control a smart floor of a building. The
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understanding of the transition to the Leidenfrost state, and (ii) optimize the heat transfer between the droplet and the substrate. The practical implications will be leveraged by non-academic institutions
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