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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good
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motivation describing how you would approach the challenge of supporting and coordinating interdisciplinary environment and climate research at the University of Vienna. Proof of your formal qualifications
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/an Postdoctoral Researcher in Syriac Christianity 32 Faculty of Protestant Theology Job vacancy starting: 08/01/2025 (MM-DD-YYYY) | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited
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computer skills in connection with the preparation of legal texts and ready-to-publish manuscripts. You work independently and are both a good communicator and team player. What we offer: Work-life balance
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, limited to 4 years 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. Claudia Plant The Faculty
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other members of the ViCAS operational team - the ViCAS Programme Manager and the ViCAS Communication and Outreach Manager. Overall, your role is critical to the development and success of ViCAS, both
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the...
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Faculty of Computer Science Job vacancy starting: 04/01/2025 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 03/31/2028 Job ID: 3620 Who we
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and determination? We are currently seeking a/an University assistant predoctoral at the RG Neuroinformatics (NI) 39 Faculty of Computer Science Job vacancy starting: 01.06.2025 | Working hours: 30,00
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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties