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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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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 expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an...
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engineering, energy informatics, or a related field Solid programming skills, ideally in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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to foster interdisciplinary learning and support young talents in shaping the future of Human-Computer Interaction in an applied setting. There is an optional combination with master thesis projects.
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well as training sessions, collaborative work on shared research topics, and active exchange among students and experts. The programme is designed to foster interdisciplinary learning and support young talents in
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data analytics, data fusion, machine learning and the design of complex algorithms is an advantage Special interest in applied research and solving practical problems Ability to work in a team
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: data analytics, machine learning, design of complex algorithms, environment modeling, system design Interest in project management of international research- and development projects in the civil and
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after the Ph.D.) in at least one of the three following thematic areas (plus proven interest and willingness to learn the other two): (i) battery testing at cell / module / system level, preferably