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dynamics in urban environments. Gas dynamics shape air quality, greenhouse gas fluxes, and emergency response capacity. Yet, current modelling approaches are incapable of inference from diverse sensory data
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-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas dynamics in urban environments. Gas dynamics shape air
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form a strong cohort through participation in seven network-wide events as well as secondments and collaborations, which entail travel to several different EU countries. Your work assignments The
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