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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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Ytterbium lasers employing multi-pass cell post-compression. In close collaboration with leading experts at Ecole Polytechnique, the University of Paris-Saclay, France and the Helmut-Schmidt- University
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heat pump systems. During the last months, our research group has constructed two novel test rigs: A reversible compression high-temperature heat pump / Organic Rankine Cycles & a reversible absorption
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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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compiled into a single, reasonably compressed PDF file and sent via email to burger@tum.de. Please use "Application for Ph.D. Position 2" or "Application for Post-Doc Position 2" as the subject line and
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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