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the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting both
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optimization methods for a grid island powered by renewable energy, supporting both the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD candidate will have the unique opportunity
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to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work
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fluid mechanics involved as droplets flow on and through fog nets, aiming to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting
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of this sustainability-oriented project is to develop a better understanding of the fundamental fluid mechanics involved as droplets flow on and through fog nets, aiming to create new designs that optimize water yield
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deterministic PDEs and equations subject to stochastic perturbations, integrating approaches from machine learning algorithms, transport theory, and optimization. Examples of relevant equations include, but