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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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, intellectual property, peace and development studies, landscape architecture, and science and technology studies. We embrace inter- and multidisciplinary approaches to research in conversation with other
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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