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are relevant to our strategic objectives and will facilitate: - Decarbonisation of the existing building stocks - Sustainable and skilled local employment - Addressing of relevant non-technology market barriers
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detection. One highly promising direction NV-based nano- and microscale nuclear magnetic resonance (NMR) spectroscopy. In our lab, this quantum sensor based NMR spectroscocopy is applied to life sciences as
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platform for early detection of cardio-metabolic diseases as well as characterization and classification of skin diseases. You will be part of our highly impactful research programs funded by European and
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
approaches 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
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types, their content, and also the relationships between the individual objects. To apply for this position, the candidate should possess in-depth skills in programming and hands-on training and
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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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this requirement will be rejected without consideration. Notice for candidates with disabilities: Schwerbehinderte werden bei im Wesentlichen gleicher Eignung und Qualifikation bevorzugt eingestellt. Candidates with
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12.10.2020, Wissenschaftliches Personal SARS-CoV2 is currently the biggest health challenge. Detection of the infection is mainly based on PCR-based methods as the gold standard. Other test
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(partially) autonomous traffic with central intelligence, such as dynamic road pricing or support for blue light driving. Critical traffic situations should be detected and avoided at an early stage. This can
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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