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) radiation sensors Assembly and characterization of SiC sensor modules for laboratory and beam tests measurements Development and characterization of analog and digital electronics for high dynamic range
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the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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technology (particularly discrete analog circuits), (ii) acoustic sensors, piezoelectric materials, design, and simulation, (iii) modeling (including multiphysics), application of existing codes, and
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sensor and IoT systems deployed on unmanned robots and drones, these algorithms are tailored for rapid response scenarios, such as the release of biological, chemical, or radiological hazardous substances
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sensor and IoT systems deployed on unmanned robots and drones, these algorithms are tailored for rapid response scenarios, such as the release of biological, chemical, or radiological hazardous substances
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environments. The goal is to scientifically quantify at least three different motion planning algorithms in various benchmarking scenarios. Further, you will evaluate the practical feasibility on a real-world
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at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data, stochastic optimization
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processing, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution Collaboration in interdisciplinary cooperation projects and third-party funded projects