228 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions at University of Vienna in Austria
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teaching, the applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The Tenure Track
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of Geography and Regional Research, University of Vienna, seeks to appoint a Scientific project assistant postdoc 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.01.2026 | Working
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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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to research, teaching, and departmental operations Requirements: • A completed doctoral degree in chemistry, bio technology or a related field. • Strong programming skills in Python, R, or similar
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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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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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and teach and remains an appealing partner for science and industry. Your future tasks: As part of the Career Development team, you will work with colleagues from your department and the entire
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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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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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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