41 computer-programmer-"https:"-"https:"-"https:"-"HFML-FELIX" positions at UNIVERSITY OF VIENNA
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- MUST German - Excellent knowledge - SHOULD Computer-Skills: Type of computer skills / Specified computer skills / Importance Statistics Statistical analyses - MUST Modeling - Ecological Modeling - SHOULD
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). A proven publication record would be desirable. You have knowledge of foreign languages. Corresponding experience abroad would be desirable. You have qualified computer skills in connection with
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in
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computing in a Linux environment A record of presenting your research at scientific conferences Excellent knowledge of written and spoken English (C1) A commitment to collaboration and communication within a
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administration and organisation. We are looking for a/an IT Technician 39 Faculty of Computer Science Startdate: 01.03.2026 | Working hours: 20 | Collective bargaining agreement: §54 VwGr. IIIb Reference no.: 5207
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of Vienna at the Faculty of Chemistry of the University of Vienna. In addition to scientific activities and the development of new computational and analytical methods, the center advances biomedical and
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should be centred on fertility and reproduction, with a clearly demographic approach. They should present a clear and realistic work plan for this short-term role. The Department of Demography
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language. The department employs more than eighty staff and presently around 2500 students are enrolled in its Bachelor, Masters, Diploma, PhD and Teacher Education programmes. You will be working in the area of applied
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, Computer Science, Natural Sciences and/or experience in data stewardship Interest or experience in the area of Research Data Management and Open Science Good knowledge of research practice, as well as a broad