129 engineering-computation-"https:" "https:" "https:" "https:" "Univ" uni jobs at University of Vienna
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Science DoCS (https://docs.univie.ac.at ), founded in 2020, offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme
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, and power, but also other topics in philosophy of technology are welcome. Further information can be found here: https://philtech.univie.ac.at/ https://coeckelbergh.net/ Your duties will include active
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, technology, and society. The department offers the English language master program 'Science, Technology, Society', as well as a number of course formats for other programs. Your tasks will include developing
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complement the research team led by Univ.-Prof. Mag. Dr. Daniela Hohenwarter-Mayr, LL.M., at the Department of Business Law, Tax Law Division. Our research focuses on Austrian and international corporate tax
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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to make a meaningful impact? UniVie Doctoral School Computer Science DoCS - Doctoral Positions (STEM CALL 2026) Research Services and Career Development Job vacancy starting: | Working hours: 30
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to join our team! Your professional field of activity: As a University Assistant (40 hours/week), you will join the research team led by Univ.-Prof. Dr. Pierre Germain, Privatdoz. The main research area of
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exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School Computer Science DoCS (https
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contact: Univ.-Prof. Dragoș Ciobanu, PhD Professor of Computational Terminology and Machine Translation dragos.ioan.ciobanu@univie.ac.at We look forward to new personalities in our team! The University
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. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The research group Statistical Analysis and Inference (STAIN) (https://stain.univie.ac.at