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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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and self-supervised learning. The research group The Computer Vision Group conducts research in the field of automatic image interpretation and perceptual scene understanding. The group targets both
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of machine learning and 3D computer vision. As a candidate, you'll have the chance to develop theoretical concepts and innovative methodologies while contributing to real-world imaging applications. Moreover
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. In 2020, the first example of a nematic phase with spontaneous polar order was identified. At that moment the more than 100 years old paradigm of the non-polar nature of nematic liquid crystals broke
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. At that moment the more than 100 years old paradigm of the non-polar nature of nematic liquid crystals broke down, and the old truth that spontaneous polarization and ferroelectricity in liquid crystals require
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chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology and meet medical challenges. Our
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of Chemical Biology (ChemBio), we combine and develop protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and
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are used for modeling and analysis in prototype development. Therefore, the relevant skills with these or similar tools are required. - Practical experiences on experimental tests of power electronics
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to seamlessly integrate quantum computing and quantum communication protocols into classical optical infrastructure. This endeavor holds immense potential to revolutionize information processing and communication
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sustainable, both in the planning and design of projects as well as in the actual execution and reporting. The work has a number of specific goals: to further develop a prototype previously developed into a