125 machine-learning-"https:"-"https:"-"https:"-"https:" uni jobs at University of Vienna
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administration and organisation. We are looking for a/an Senior Scientist in Experimental Quantum Machine Learning 51 Faculty of Physics Job vacancy starting: 01.02.2026 | Working hours: 40,00 | Classification
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of Philological and Cultural Studies and Centre for Teacher Education at the University of Vienna invites applications for a Tenure-Track Professorship in Instructed Second Language Acquisition and Learning
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Machine Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
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participate in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete
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participate in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete
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(postdoc) Limited contract until: 30.04.2032 Job ID: 5022 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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(postdoc) Limited contract until: Job ID: 4984 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so
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(postdoc) Limited contract until: 31.08.2026 Job ID: 4943 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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independently to our research. We mostly work at the intersection of top-down (e.g., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation
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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