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tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction processes, and
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from the interactions of cell nuclei within its gigantic cell. We are looking for a PhD student (m/f/d) to start at the TUM this summer or fall. Your Task The network-forming slime mould Physarum
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of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking highly motivated and enthusiastic PhD
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01.09.2022, Academic staff The Trustworthy and Privacy-Preserving AI Group at the Institute for AI in Medicine is offering a PhD candidate position (TV-L E13, 100% for 3 years) in Privacy-Preserving
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27.09.2023, Academic staff The Holzforschung München of the Technische Universität München with the professorships for "Wood Science", "Wood Technology" and "Fungal Biotechnology in Wood Science" promotes the innovative and sustainable use of wood-based materials and products through research,...
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focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how-to-store
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. Methods, 2024). The approach is still in its infancy; hence we need to drive the further development of the imaging technology, labeling agents and analysis approaches at the same time. To demonstrate
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operational responsibilities What we offer Compensation according to TVL-13 (65%), initially limited to 3 years. The possibility to do a PhD is given and desired. A very good working atmosphere in
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and operational responsibilities What we offer Compensation according to TVL-13 (65%), initially limited to 3 years. The possibility to do a PhD is given and desired. A very good working atmosphere in
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tools for distributed models, and iii) robustness to data and model poisoning attacks. In this context, we are looking for a PhD Candidate who has a strong background in machine/deep learning to push our