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research institutions in the field of biodiversity. At our twelve sites in Germany, scientists from over 40 nations conduct cutting-edge research on an international scale. We are looking for an enthusiastic
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% position at level E 14 TV-L (public sector pay scale). The post-doctoral researcher is expected to work in the area of entrepreneurship / family enterprise. The postdoc position (m/f/x) is limited to 24
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qualifications. Full-time employment is envisaged; models that enable continued employment at your home institution on a small scale are possible. The minimum duration of stay in Munich is 18 months, the maximum
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research position on the (standard German) TV-L E13 pay scale, i.e. over €50k gross and over €30k net p.a. - Generous travel and equipment funds - Numerous international collaboration opportunities - CS
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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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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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, climate and earth system modeling, soil parameter mapping, and multi-sensor segmentation, together with our partners at renowned international and national institutes such as Bonn University, Alfred Wegener
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position a sensor in nanometer-scale proximity to samples. You will use this platform to reveal patterns of current in integrated circuits, to map patterns of light at the nanoscale, or to assemble nano
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quantum computers and the ones using them. In this field, we are about to start a visionary and large-scale ERC Consolidator Grant Project and are going to become part of the Munich Quantum Valley
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Carlo, multi-phase field models and similar • Preferably knowledge in welding and additive manufacturing • Preferably knowledge in data-driven methods in materials science • Interest in project management