99 computer-engineering-"https:" "https:" "https:" "Univ" positions at UNIVERSITY OF VIENNA
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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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administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in business administration or related topics (e.g. industrial engineering
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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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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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breakthroughs in basic research to advances in human health. The position is embedded in a team that manages the Vienna BioCenter PhD Program, a doctoral school of the University of Vienna and the Medical
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computing in a Linux environment A record of presenting your research at scientific conferences Excellent knowledge of written and spoken English (C1) A commitment to collaboration and communication within a
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administration and organisation. We are looking for a/an IT Technician 39 Faculty of Computer Science Startdate: 01.03.2026 | Working hours: 20 | Collective bargaining agreement: §54 VwGr. IIIb Reference no.: 5207
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, teaching and administration, which means: Collaborative and independent research in organic synthesis: Develop and pursue an original research program focused on new organic reactivity, synthetic methodology
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, Computer Science, Natural Sciences and/or experience in data stewardship Interest or experience in the area of Research Data Management and Open Science Good knowledge of research practice, as well as a broad