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related fields Basic knowledge of programming (preferably Python; R or MATLAB also accepted with willingness to switch) Experience in quantitative data analysis Interest and/or experience in landslide
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contribute to current research, and work with responsibility for results. The research project is a collaboration between the "Mathematical Data Science" research group at the University of Vienna (led by Prof
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) containing the following information in English (additionally, in German is possible) via e-mail to the Dean of the Faculty of Historical and Cultural Studies, Prof. Christina Lutter, (dekanat.hkw@univie.ac.at
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research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing their resilience and
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research on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing their resilience and
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studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine Learning” at the Faculty of Computer Science. Your
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, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 17.09.2025 Reference no.: 4430 Tenure Track Professorships https
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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: 17.09.2025 Reference no.: 4415
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, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 17.09.2025 Reference no.: 4417 Tenure Track Professorships https
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personalities. Since 1365. Data protection Application deadline: 17.09.2025 Reference no.: 4421 Tenure Track Professorships https://academicjobs.univie.ac.at/datenabfrage/TT0725PHILKU01