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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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emphasis is placed on building information modelling, point cloud capturing and processing as well as knowledge representation and inference. In the research project AI-CHECK, new technologies for checking