133 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" uni jobs at University of Vienna
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of predictive 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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. The employment 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
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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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: https://koreanologie.univie.ac.at/ Your future tasks: You actively participate in research, teaching & administration, which means: Developing a doctoral research project in the area of Korean Studies
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, accounting and related systems as super-user, including data integration across donor, payment and expert systems To oversee end-to-end donor and sponsor processes (onboarding, mid- and back-office) and to
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, including method development, data analysis and preparation of results for publication. You are expected to sign a doctoral thesis agreement within 12 months. You engage in teaching (independently and/or in a
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of the decision panel, shape the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by
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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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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening