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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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their passion and determination? We are currently seeking a/an University assistant predoctoral - researchgroup DM & ML 39 Faculty of Computer Science Startdate: 01.02.2026 | Working hours: 30 | Collective
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Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching experience
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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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systems, business administration and/or economics, computer science or a related field. Experience performing and publishing academic research at peer-reviewed conferences and journals is a plus. You are an
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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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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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of battery materials, at the interface of technical applications, resource management, and sustainability. You independently plan and carry out complex experiments, evaluate the data, and interpret the results
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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 digitisation. To achieve our goals, we rely on our specific research, development and technology...
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of battery materials, at the interface of technical applications, resource management, and sustainability. You independently plan and carry out complex experiments, evaluate the data, and interpret the results