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Among the many good reasons to want 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
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data analytics, data fusion, machine learning and the design of complex algorithms is an advantage Special interest in applied research and solving practical problems Ability to work in a team
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: data analytics, machine learning, design of complex algorithms, environment modeling, system design Interest in project management of international research- and development projects in the civil and
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of Vienna. AICARD aims to transform cardiac research by exploring routine clinical data through advanced machine learning and visualization techniques. As part of our vibrant and interdisciplinary team
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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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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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the network architecture need to be to capture the solution accurately? In essence, we’re exploring the frontier between modern machine learning and classical mathematical theory—where neural networks meet some