154 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at University of Vienna
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areas of work here: https://lit-ktf.univie.ac.at Your future tasks: You will actively participate in research, teaching and administration, which means: • Preparation of a dissertation at our Department
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education in the mathematical sciences. It consists of active research groups in a wide range of fields, starting from logical foundations, bridging all classical core subjects, and up to concrete
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experience with programming (e.g. Python, Julia) and simulation methods (e.g. molecular and quantum dynamics. What we offer: In the Maurer group, we aim to develop computational simulation methodology to study
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: https://koreanologie.univie.ac.at/ Your future tasks: You actively participate in research, teaching & administration, which means: Developing a doctoral research project in the area of Korean Studies
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research project in the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will
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assistant predoctoral 39 Faculty of Computer Science Job vacancy starting: 01.04.2026 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: Job ID: 5431
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| Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 02.04.2032 Job ID: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science
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and is looking for a PhD student to join the team. The Max Perutz Labs is a joint research institute of the University of Vienna and the Medical University of Vienna. It was founded in 2005 to deepen
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. The programme is organized at the Faculty of Business, Economics and Statistics of the University of Vienna. Your future tasks: You actively participate in research, teaching & administration, which means: We
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, Economics and Statistics therefore looking for a highly motivated person (m/f/d) with an academic background in Business, Economics, Statistics, Computer Science or Natural Sciences and/or data stewardship