30 soil-structure-interaction Postdoctoral positions at Technical University of Munich
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participate in the university's self-administration and the structural tasks of the institute. You will be actively supporting our EV Powertrain team, which focuses on research related to high-voltage batteries
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relevance ▪ Software: experience working with MATLAB, C++, Python or similar ▪ Goal-oriented, independent and structured work style Our offer ▪ Current research topic in a challenging international working
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rankings in research and teaching. Our group “Sustainable Energy Materials” concentrates on the preparation of heterogeneous catalysts and the understanding of structure-performance indicators in
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of psychology (in human-robot interaction) and communications (in networked control systems). Many of the developed methods are experimentally validated in our multi-robot lab. Your qualifications: We
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sensors and apply them to novel applications. Technically, your work will involve the design and construction of optics and electronics, clean room fabrication and software development, as well as theory
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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field of additive manufacturing of metallic structures. The main focus is on developing and characterizing metallic high-performance materials for/through additive technologies by means of experiments and
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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responsibilities: - implement, develop and extend methods for processing and analyzing single-cell RNAseq and protein profiles (CyTOF) - develop methods for second level analyses e.g. interaction networks