425 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions in Austria
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breakthroughs in basic research to advances in human health. The position is embedded in a team that manages the Vienna BioCenter PhD Program, a doctoral school of the University of Vienna and the Medical
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light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we
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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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Job ID: 5347 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like
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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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for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can
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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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using a computational cluster including job scheduling is required. A strong affinity for methods development preferred. A track record of publications in international peer-reviewed journals in
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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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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