59 assistant-professor-computer-science-and-data positions at AIT Austrian Institute of Technology
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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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
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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technologies such as distributed IT systems, Internet of Things, IoT, cybersecurity, data science, artificial intelligence (AI), blockchain technologies, quantum and photonic technologies, wireless systems (6G
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focus on a variety of key technologies like Distributed IT Systems, Internet of Things, IoT, Cybersecurity, Data Science, Artificial Intelligence (AI), Blockchain Technologies, Quantum & Photonic
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focus on a variety of key technologies like Distributed IT Systems, Internet of Things, IoT, Cybersecurity, Data Science, Artificial Intelligence (AI), Blockchain Technologies, Quantum & Photonic