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perspective. The Faculty of Historical and Cultural Studies at the University of Vienna invites applications for a Tenure-Track Professorship in Digital Editorial Studies and Computational Methods of Modern
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assistant predoc in Software Architectures 39 Faculty of Computer Science Job vacancy starting: 01.12.2025 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract
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contribution to the economy and society. Our Center for Technology Experience located in Vienna , offers part-time positions for students related to future topics of Human-Computer Interaction - HCI. In our
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3 Sep 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Applied Mechanics Research Field Engineering Computer science Mathematics Researcher Profile
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of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis The position We welcome applications from
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University of Vienna, Faculty of Computer Science, Research Group Software Architecture | Austria | 20 days ago
the team:The Faculty of Computer Science of the University of Vienna has world-leading researchers in Computer Science who pursue basic as well as applied research. The UniVie Doctoral School Computer
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of Historical and Cultural Studies at the University of Vienna invites applications for a Tenure-Track Professorship in Digital Editorial Studies and Computational Methods of Modern History The position
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for a University assistant predoc in Software Architectures 39 Faculty of Computer Science Startdate: 01.12.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc
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Research Framework Programme? Horizon Europe Reference Number 101214981 Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Opportunity in Bio-based surfactants
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working across topics and will: Plan, develop and apply advanced computational methodologies to gain fundamental biological insight in the context of diverse single-cell datasets. Drive innovation and