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Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant. The Faculty of Computer Science
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-supported methods for creating laboratory reports as a key component of learning scientific writing. Implementing computer-based experimental techniques. Training student assistants and tutors. Keeping up
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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties
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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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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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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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, 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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, 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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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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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