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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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data, improving real-world performance. Knowledge Distillation: Investigate techniques to compress complex biometric models while preserving accuracy, enabling efficient deployment on resource
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Join our scientific team in the multimedia communications group in a key position in
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compressed sensing) to determine greenhouse gas and pollutant emissions in cities using atmospheric measurements (MUCCnet: https://atmosphere.ei.tum.de/ ) and in-situ sensor networks in ICOS Cities project
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partners, including longer stays in Argentina experience in at least two of the following fields: (experimental) measurement of wind erosion and dust emissions; statistical analysis of environmental data
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position is part of a large cooperation project with partners from industry and academia. The candidate will measure and model data on the reaction kinetics and mass transfer in reactive chemical systems. A
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of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text