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training activities within the MONALISA network and local courses, (iii) to write scientific articles and a PhD thesis, as well as (iv) to teach and disseminate research in the scientific community
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related field Sound knowledge in the field of artificial intelligence and machine learning Ideally experience with knowledge graphs, semantic search, graph neural networks (GNNs), explainability
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mechanical Science and Engineering, Institute of Manufacturing Science and Engineering, the Chair of Forming and Machining
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equivalent in bioinformatics, computational biology or molecular biology • Practical experience with programming, machine learning, statistical analyses of big data and bioinformatics tools and software
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opportunities to learn, develop, and apply machine learning and deep learning methods on genomics data. Requirements: excellent university and PhD degree with experience in molecular biology, computational
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offers the possibility of a doctorate. What you bring to the table Bachelors, Masters, or a PhD degree in Electrical Engineering or equivalent technical field > 1 years of related experience or equivalent
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with emphasis on medium access layer protocols (MAC), machine learning and LTE/5G procedures Excellent analytical understanding and research skills Creative thinking and interest in new technologies Self
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years of experience working with IEEE WiFi standards Strong background in wireless communication with emphasis on medium PHY or MAC, machine learning and WiFi procedures Excellent analytical understanding
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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19.11.2024, Wissenschaftliches Personal A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision