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intelligent, adaptive, and sustainable industrial systems. The work involves topics such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable
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will be responsible for the CPS intelligence, IoT, and SoS automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source
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-to-edge continuum for flexible and adaptable distributed systems. The projects aim to further digitalize the European industry, where EISLAB will be responsible for the CPS intelligence, IoT, and SoS
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Engineering (UML, SysML, metamodels) usage to model the major data modeling languages. The projects aim to further digitalize the European industry, where EISLAB will be responsible for the CPS intelligence
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financial transactions and activities as well as support audits. The projects aim to further digitalize the European industry, where EISLAB will be responsible for the CPS intelligence, IoT, and SoS