92 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "U.S" positions at UNIVERSITY OF VIENNA
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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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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- 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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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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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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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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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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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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, 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