165 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" 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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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF project
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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for learning new methodological skills required for the project. A successful applicant will have a MSc degree in microbiology or ecology with a focus on microbial ecology, or a related discipline
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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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Biophysical Chemistry. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage
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diversity competence Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding Enthusiasm for excellent teaching and supervision
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Platform “Multilateralism Revisited: The Past, Present, and Future of International Negotiation and Cooperation” at the University of Vienna (https://multilateralism-revisited.univie.ac.at
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in the heart of Europe. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage