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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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) Advanced statistical evaluations (in particular machine learning-based analyses and research syntheses such as scoping/systematic reviews, meta-analyses and meta-science approaches) Leading functions in data
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/PEMT practices involving speech technologies” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research
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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
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technological developments in the field of interpreting, for instance remote interpreting, computer- assisted interpreting (CAI) tools and speech-to-text interpreting with automatic speech recognition. Candidates
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VwGr. B1 Grundstufe (praedoc) Limited contract until: 09/30/2026 Job ID: 3651 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration
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to appoint a Full Professor of Communication Technologies The position: The Faculty of Computer Science is looking for an outstanding computer scientist who pursues research in the area of future communication