74 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at University of Vienna in Austria
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“Computational Mathematics and Data Science” (https://mathematik.univie.ac.at/forschung/computational-mathematics-and-data-science-comada/). Within this focus area, there is expertise in fields that are of great
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spatio-temporal gradients. The study will be based on vegetation plot data in a transect encompassing four Central and Eastern European countries with different land-use histories and patterns of current
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spatio-temporal gradients. The study will be based on vegetation plot data in a transect encompassing four Central and Eastern European countries with different land-use histories and patterns of current
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Physical Geography, Spatial Data science, Environmental Economics and Environmental Psychology. The successful candidate will also participate in the Vienna Graduate School of Economics (VGSE). The VGSE is
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Univ.- Prof. Dr. Philip Walther, is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics and member of the Vienna Center for Quantum Science and
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group. You collect and analyze data, and cooperate on scientific publications. You hold courses in Sport Psychology (teaching load: 2 SWS) and help with supervising student theses. You are involved in
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. b (postdoc) Limited contract until: 31.12.2029 Job ID: 4921 We are a team of researchers using operational and information-theoretic tools to gain insights into quantum foundations, causality, and
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qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 14.02.2026
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analysis of complex data sets (for example: ICP-MS, LA-ICP-MS, MS-Imaging, Metabolomics, Lipidomics) is a significant advantage • Excellent knowledge of German and Englisch (C1) • Team player and high
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Machine Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial