57 assistant-professor-and-human-computer-interaction PhD positions at Technical University of Munich
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resource efficiency. A physics-based model for monitoring the condition of helicopter components is being developed as part of this project. With the help of flight test data, this model is to be calibrated
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to the computational complexity of climate models, these will be replaced by physics-informed deep learning surrogates in the aforementioned model coupling. The project will initially focus on one main application
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motivated PhD students to strengthen our interactive and collaborative team. The projects are founded on the well-established and highly visible track record of the laboratory in the analysis of plant growth
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research and travel budget available to best support your research. You will partic-ipate in teaching and supervising students, interact with and learn from the other team members, and re-ceive close
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19.05.2025, Wissenschaftliches Personal The Chair of Agrimechatronics at Technical University of Munich (TUM) invites for applications for the position of a Research Associate (Doctoral Student). M/F/D. Applications from disabled persons with essentially the same qualifications will be given...
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15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine learning for dementia prediction. see here:...
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features with an emphasis on vegetation complexity, urban infrastructure, and bird diversity. The thesis is part of a greater project studying urban green space and soundscapes and how these relate to human
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systems through reachability analysis, which computes the union of all possible trajectories a system can reach within a finite or infinite time when starting from a bounded set of initial states. The
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researchers in Science and Technology Studies (STS) exploring the interactions between science, technology and society. As a vibrant hub for STS research in Germany, it offers a highly stimulating and
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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign