164 computer-science-programming-languages-"Prof"-"Prof" positions at University of Vienna in Austria
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given lectures in international settings; • Previous teaching in political science; • Capable to hold classes in English; • Knowledge in curricular matters and supervision of students (possibly
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and
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developing your own academic profile. Your future tasks: You will actively participate in the research and teaching programme of the Institute for Canon Law and Religious Law as well as take on administrative
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quality assurance Very good knowledge of qualitative and quantitative social science methods Independent, structured and solution-oriented approach to work, ability to work in a team High level of
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disciplines with faculties at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en/research/ Your
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, too? We are looking for an Department Coordinator 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.11.2025 | Working hours: 40.00 | Classification CBA: §54 VwGr. IIIb
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Healthy Lifespan,” “Computational Life Sciences,” and “Innovation in Drug Research.” The tenure-track professorship will be located at the intersection of these areas and will contribute bioinformatic
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program in Intercultural Philosophy of Religion and of the Research Center “Religion and Transformation in Contemporary Society”. Active participation in the “Vienna Doctoral School of Theology and Research
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: The ideal candidate will have a background that combines Law with Computer Science. Experience in programming, statistical analysis and legal research is a plus. • Knowledge of OR interest in these areas
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laboratory work, as well as teaching in laboratory courses in the Bachelor's programme in Chemistry. The focus here is on instructing students in the evaluation of experimental data and the use of digital