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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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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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AI:AT – the AI Factory Austria – is making Austria a hotspot for Artificial Intelligence in Europe. AI:AT is a joint project of AIT and Advanced Computing Austria. It brings together top-level
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increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. More information: https://sc.cs.univie.ac.at/ Your future tasks
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), robustness and flexibility. We cover the whole data processing chain including image capture, computational imaging and classification with classical and AI methods. You will develop concepts, specifications
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Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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landslide risk model incorporating urban layers 4. Task Assignment (summary to be attached to the cover letter) - Use an open-access DEM to compute the slope and aspect distribution of Aso Caldera, Japan
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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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What to expect: The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 59.934,--. The actual salary will be determined individually, based on your qualifications and experience. In addition, we offer company benefits, flexible working...
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and