30 computing-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI"-"https:"-"UCL" positions at UNIVERSITY OF VIENNA
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assistant predoctoral 39 Faculty of Computer Science Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5431 Explore and teach
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assistant predoctoral 39 Faculty of Computer Science Startdate: 16.03.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 03.06.2026 Reference
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to make a meaningful impact? UniVie Doctoral School Computer Science DoCS - Doctoral Positions (STEM CALL 2026) 174 Research Services and Career Development Working hours: 30 | Collective bargaining
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to make a meaningful impact? Mathematics & Computer Science - Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40 | Collective bargaining
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 02.04.2032 Reference no.: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science in
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well as the teachers program in Ethics, as well as in the Master’s program in “Interdisciplinary Ethics.” In these areas, you will regularly teach courses on the basics of philosophical ethics, the history of ethics
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues. The programme is organized
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requirement The Candidate must have passed the Vienna BioCenter International PhD program recruitment. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work
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- MUST German - Excellent knowledge - SHOULD Computer-Skills: Type of computer skills / Specified computer skills / Importance Statistics Statistical analyses - MUST Modeling - Ecological Modeling - SHOULD