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processes, software quality, AI engineering, quantum software engineering, empirical and data-driven methods in software engineering, software architecture as well as critical systems. Other focal topics may
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, architecture, and governance of digital innovation and transformation in organizations and ecosystems by using modern information technologies such as AI, distributed-ledger systems, or metaverse technologies
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Sciences invites applications for a professorship (W3) for Data Engineering. The field covers the systematic development of methods and architectures for reliable, high-performance, and scalable systems
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