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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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Chemistry. On the one hand, you will play a key role in the practical introduction of students to a broad spectrum of instrumental analytical methods and, on the other hand, will deal with the computer-aided
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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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VwGr. B1 Grundstufe (praedoc) Limited contract until: Job ID: 4132 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced
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methods, especially quantitative methods Experience in learning methods of Computational Communication Science, e.g. computer-assisted text or image analysis, agent-based modeling and simulation, or network
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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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, 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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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