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teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our
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. You supervise students. This is part of your personality: Completed PhD in psychology, behavioral science, human-computer interaction, public health, or a related field. Quantitative research skills
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on basic experimental physics training as well as research into the teaching and learning of physics. The group is seeking a Senior Lecturer (Academic Teaching) to take on the independent design
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, Synthetic Data for Machine Learning in Privacy Research, Formalization of Security Risk Management, and Security and Privacy of Blockchain Technologies. In the long term, we are concerned with understanding
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exploring the frontier between modern machine learning and classical mathematical theory—where neural networks meet some of the most difficult problems in computational science. The ideal candidate will have
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and computational problems with real-world relevance, using modern approximation theory and machine learning techniques. The ideal candidate will have prior exposure to modern developments in at least