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and determination? We are currently seeking a/an Technician / Data Manager 39 Faculty of Computer Science Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working hours: 30,00 | Classification CBA
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Limited contract until: Job ID: 4344 The University of Vienna plans to expand the existing Research Data Management services by offering discipline-specific support through a new Data Stewardship program
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael Feischl). Within the scope of this collaboration, there is a possibility to
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An der Universität Wien arbeiten über 10.000 Persönlichkeiten gemeinsam an den großen Fragen der Zukunft. Davon sind rund 7.500 wissenschaftliche Mitarbeiter*innen. Persönlichkeiten, die mit ihrer Neugier und ihrem Streben nach Exzellenz zu internationaler Spitzenforschung und Lehre beitragen....
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: Master degree in technical fields; Excellent fluency in English (both verbally and in written), fluency in German is an advantage; good computer literacy and skills; strong communication (both oral and
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apply: Letter of Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching
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, human-computer interaction, public health, or a related field. Quantitative research skills, including data analysis with SPSS, R, JASP, jamovi or similar software. Experience in planning and conducting
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Law or a related subject that allows registration in a Law Faculty doctoral programme at the University of Vienna, for example in the doctoral programme Interdisciplinary Legal Studies. • Desired
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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