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Field
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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security throughout the entire life cycle of software-driven systems. We support industry and public authorities in risk modeling, the creation and testing of secure software/system architectures
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
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projects address complex systems where data-driven models can accelerate discovery and decision-making. Environmental Sciences — IDEAS tackles questions shaped by spatio-temporal dynamics, changing
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/flying of UAV concepts or model airplanes. Fundamental knowledge of the key disciplines in aerospace engineering and especially in aircraft design is required. Expertise in building and testing of model
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by a training programme in computational physics, data analysis techniques, space technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based
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Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called “Health and Usage
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research project focuses on regulatory T (Treg) cells and investigating their context-specific identity and function in B cell-driven autoimmune diseases. This collaborative project is embedded in
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Intelligence, Mathematics, Electrical Engineering, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You