147 professor-computer-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Austria
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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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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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Above-average academic achievement (at least in the field of civil and commercial law) Excellent computer skills (MS-Office) Experience in working with legal databases Very good written and spoken
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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 Job vacancy starting: 01.04.2026 | Working hours: 20,00 | Classification CBA: §54 VwGr. IIIb Limited
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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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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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participation in research, teaching and administration, which means: Collaborative and independent research in organic synthesis: Develop and pursue an original research program focused on new organic reactivity
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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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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