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The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With...
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Computational and Soft Matter Physics Group at the Faculty of Physics invites
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Astronomy. It is the largest and oldest Geography department in Austria. The department offers scientific degrees in the bachelor program, in two master programs, in the teacher education program (Bachelor
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. M.Sc. in Business or Adjacent disciplines such as economics, psychology, engineering or computer sciences: e.g. M.Sc. in economics, M.Sc. in industrial engineering, M.Sc. in information management, M.Sc
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, Austria [map ] Subject Area: Applied and Computational PDEs Appl Deadline: 2025/09/17 11:59PM (posted 2025/07/21, listed until 2025/09/17) Position Description: Apply Position Description Please don´t
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systems, business administration and/or economics, computer science or a related field. Experience performing and publishing academic research at peer-reviewed conferences and journals is a plus. You are an
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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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the heart of Vienna at the Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna. Besides scientific activities in developing new and improved computational and measuring methods
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programme of the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo) and to sign a doctoral thesis agreement within 12-18 months after being employed. The position is
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computer-aided chemistry or an equivalent qualification Experience in the area bioanalytical chemistry Initial experience in scientific writing Didactic competences / experience with e-learning IT user