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As Austria's largest research and technology organisation for applied research, we are dedicated to make 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 and technology...
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As Austria's largest research and technology organisation for applied research, we are dedicated to make 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 and technology...
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Chemistry. On the one hand, you will play a key role in the practical introduction of students to a broad spectrum of instrumental analytical methods and, on the other hand, will deal with the computer-aided
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the BA program (proseminar, case study), one course per semester (every fourth semester is free of teaching, according to the employment contract) • You support the professor for Islamic Art History in
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communication mediated by mass media. Your personal sphere of influence: As a University Assistant (Predoc) you will be part of the Computational Communication Science Lab (CCL), an interdisciplinary research
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AI:AT – the AI Factory Austria– is making Austria a hotspot for Artificial Intelligence in Europe. AI:AT is a joint project of AIT and Advanced Computing Austria. It brings together top-level
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AI:AT – the AI Factory Austria – is making Austria a hotspot for Artificial Intelligence in Europe. AI:AT is a joint project of AIT and Advanced Computing Austria. It brings together top-level
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information and to submit your application, see: https://visess.univie.ac.at/phd-programme/funding-possibilities/visess-completion-grants/ . Your future tasks: You actively participate in research, teaching
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: Master degree in technical fields; Excellent fluency in English (both verbally and in written), fluency in German is an advantage; good computer literacy and skills; strong communication (both oral and
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and