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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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enables the application of phase contrast methods with a spatial resolution below 50 nm. Join the Cluster of Excellence "BlueMat: Water-Driven Materials" (www.tuhh.de/bluemat ) and contribute to one
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combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences of automation for democratic
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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device. According to the World Health Organization, outdoor and household air pollution kill an estimated seven million people every year, accounting for one in eight deaths worldwide. Air pollution