24 computer-"https:"-"https:"-"https:"-"Central-European-University" uni jobs at UNIVERSITY OF VIENNA
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assistant predoctoral 39 Faculty of Computer Science Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5431 Explore and teach
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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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assistant predoctoral 39 Faculty of Computer Science Startdate: 16.03.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 03.06.2026 Reference
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to make a meaningful impact? UniVie Doctoral School Computer Science DoCS - Doctoral Positions (STEM CALL 2026) 174 Research Services and Career Development Working hours: 30 | Collective bargaining
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astrophysics and a strong background in computational astrophysics. The job consists of two equally important parts: 1) to contribute to the research in the area of atmospheric evolution and 2) to take the lead
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SUSTECH – Accelerating Sustainable Technological Trajectories with Computational Chemistry and Machine Learning. Where you will be: The position is hosted by the research group Technology and Innovation
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well as the teachers program in Ethics, as well as in the Master’s program in “Interdisciplinary Ethics.” In these areas, you will regularly teach courses on the basics of philosophical ethics, the history of ethics
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(maximum 4 pages). With copies of the approved doctoral thesis agreement and annual progress reports, and the ECTS transcript of your doctoral programme. With a letter of support from your supervisor
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doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues. The programme is organized
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- MUST German - Excellent knowledge - SHOULD Computer-Skills: Type of computer skills / Specified computer skills / Importance Statistics Statistical analyses - MUST Modeling - Ecological Modeling - SHOULD