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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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well as in teaching and research administration. Candidate profile: PhD in Translation Studies/Machine Translation. Practical experience using a wide range of technologies, including: Machine Translation
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teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international research and
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include but are not limited to: machine learning, data mining, visual data analysis, mathematical foundations of data science, scalable methods for massive data or applications of data science, e.g. in
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50 Faculty of Life Sciences Startdate: 14.07.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 13.07.2031 Reference no.: 3588 Explore and teach
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field