87 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at UNIVERSITY OF VIENNA
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to make a meaningful impact? Life Sciences & Biomedical Research - Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40 | Collective
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the social sciences. Successful candidates will join a structured doctoral programme offering first-class supervision, vibrant research networks, and opportunities to publish, teach, and engage internationally
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of Vienna at the Faculty of Chemistry of the University of Vienna. In addition to scientific activities and the development of new computational and analytical methods, the center advances biomedical and
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dynamics at surfaces and in materials. Your personal sphere of influence: As a university assistant (praedoc), you will be part of the Computational Materials Discovery group of Professor Reinhard Maurer
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dynamics at surfaces and in materials. Your personal sphere of influence: As a university assistant (praedoc), you will be part of the Computational Materials Discovery group of Professor Reinhard Maurer
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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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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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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assistant predoctoral (Managerial Accounting) 37 Faculty of Business, Economics and Statistics Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc
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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