168 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at UNIVERSITY OF VIENNA
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models of species’ range dynamics. For more information please see https://bdc.univie.ac.at/ . We are currently offering a post-doc position (temporary replacement, until 30/06/2028). The successful
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qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/23/2026 (Senior) Lecturer & Researcher https
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100 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna. The research group “Data science in Astrophysics & Cosmology” is looking for three highly
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duration is six years from the start date. For more information about our research focus and team, please visit our homepage: https://mathematik.univie.ac.at/forschung/biomathematik-dynamische-systeme
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at the Faculty of Life Sciences seeks to appoint a pre-doctoral researcher with expertise in archaeology/archaeological science and to work with Associate Professor Katerina Douka (https://doukalab.univie.ac.at
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the project: https://www.anthrofuture.com . The employment duration is 3 years (36 months). Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years
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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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. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/09/2026 Prae Doc https
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facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You actively participate
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from