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intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and
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, legitimacy, and the rule of law in crises Comprehensive security and civil preparedness Situational awareness and intelligence research The research related to the position is also linked to the University
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care, digital transformation, and value creation across health service systems. The professorship emphasises internationally recognised expertise in digital health and artificial intelligence grounded in
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on the development of environmentally sustainable technologies for farming and food production. A strong emphasis is on technology innovation and sustainability by taking into account the interaction between
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, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the
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intelligence within the field of sustainable use of renewable natural resources. The appointee must have demonstrated strong expertise in research, teaching, and supervision of theses in the relevant field
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remanufacturing, data-driven business models, and product development. The AI Champion project develops artificial intelligence agents that improve automation and information flow in building services engineering
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collaboration in organizations adopting AI agents in the MEP construction supply chain, with emphasis on system design principles, sociotechnical considerations, and user interaction. Developing and
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Investigator (PI) positions. Deadline January 12, 2026. As part of the renowned ELLIS (European Laboratory for Learning and Intelligent Systems) network, we are building a leading center for groundbreaking AI