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LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available2Company/InstituteUniversity of ViennaCountryAustriaCityViennaGeofield Contact City Vienna Website https://vds-mes.univie.ac.at
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certificates (if applicable) • Final study transcripts • Contact information of 2 references Apply through our job portal / Apply now - button If you have any questions, please contact: Karen Azari karen.azari
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an international community dedicated to studying all aspects of economics. Information about the Department of Economics can be found on the website at http://econ.univie.ac.at. Your future tasks: Active
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administration Your profile: Master's degree in Computer Science, Business Informatics, Information Systems, Data Science, Math or an equivalent qualification with excellent grades An excellent command of English
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in the field of Discrete mathematics. You can find more information about our research area and our team on our website: https://mathematik.univie.ac.at/en/research/arithmetics-algebra-and-discrete
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Science communication The group actively engages in and promotes open science practices (e.g., preregistration, sharing of materials and data) and science communication, and values diverse perspectives
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. Christoph Fuchs at the Institute of Marketing and International Business at the University of Vienna (https://scholar.google.com/citations?user=T9UVrZAAAAAJ&hl=de&oi=ao ). You will work at the intersection
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events, such as conferences and the welcome event for our master’s students. The PhD student is expected to enrol in the Vienna Doctoral School of Social Sciences (VIDSS, https://vds-sosci.univie.ac.at
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VwGr. B1 Grundstufe (praedoc) Limited contract until: 14.03.2026 Job ID: 4318 The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme
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VwGr. B1 Grundstufe (praedoc) Limited contract until: 31.03.2026 Job ID: 4319 The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme