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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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ability to effectively deal with external developments such as staff shortage. This will be based on insights into the characteristics of operations, and attributes (e.g., learning demand, availability
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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Systems Engineering & Innovation Department, Directorate of Operations at the European Space Operations Centre (ESOC). The Section is responsible for driving cyber security research and development applied
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or a related field) will be tasked with researching the development and use of digital technology, including AI, in the health sphere, and ensuing value clashes, in line with the conceptual framework