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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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-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable. The duration of employment is 4 years from the start of the contract. Our research focuses on the field
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-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable. The duration of employment is 4 years from the start of the contract. Our research focuses on the field
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of Vienna and Visualization and Data Analysis Research Group (VDA ) at University of Vienna. AICARD aims to transform cardiac research by exploring routine clinical data through advanced machine learning and
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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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numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior exposure to modern developments in theoretical machine learning, in particular deep learning
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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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the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need
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the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need
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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