133 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" positions in Austria
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, or computational chemistry, biotechnology, or related fields Experience in mass spectrometry and scientific publishing Experience in newborn screening research programs Hands-on experience with the operation and
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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 German language skills Very good
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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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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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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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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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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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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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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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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