381 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions in Austria
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Field
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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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your 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
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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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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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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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located in the heart 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
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administration and organisation. We are looking for a/an IT Technician 39 Faculty of Computer Science Job vacancy starting: 01.04.2026 | Working hours: 20,00 | Classification CBA: §54 VwGr. IIIb Limited
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As Austria's largest research and technology organisation for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development...
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well as linguistics, ELT/TESOL and English 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
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combined computational/experimental workflow for the AI-supported design of sustainable magnets free of rare earth elements. The activities focus on MnBi-based magnets with the goal to improve α-phase