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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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, 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 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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ability to express yourself both orally and in writing Computer literacy (MS-Office; Imaging Software) Basic experience in academic writing Didactic competences / experience with e-learning Excellent
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• Computer literacy (MS-Office; Imaging Software) • Basic experience in academic writing • Didactic competences / experience with e-learning • Excellent command of written and spoken English (C1 Level
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profound knowledge of current statistics and omics analysis methods and an understanding of the common fragmentation mechanism of analyzed biomolecules, and current statistics, including machine-learning
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leveraging advanced computer vision and deep learning-based pose estimation from football match footage to analyze pre-injury biomechanical patterns and joint load dynamics. The research aims to create
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, using methods of applied econometrics and increasingly also machine learning. Large data sets typically form the basis of our analyses. Thus familiarity and a certain expertise on these is also expected
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including machine learning. The group is part of the Cluster of Excellence “MECS- Materials for Energy Conversion and Storage” and the Sonderforschungsbereich TRR234 “CataLight- Light-driven Molecular