89 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Austria
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic
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Job description: 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
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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 13.11.2026 Reference no.: 5104 Explore and teach at the University of Vienna, where more than 7,500 academics thrive
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Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5048 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us
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Job description: 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
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VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 5025 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has
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(postdoc) Limited until: 28.02.2029 Reference no.: 4185 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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experience / experience with e-learning Knowledge of university processes and structures International experience Basic experience in academic research What we offer: Work-life balance: Our employees enjoy
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bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 4982 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in
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Lecturer at the Department of Sociology, you will mainly teach methodologies and methods in qualitative social research (e.g., introduction to qualitative social research, interpretative methods, data