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ambitious and internationally recognized early-career researcher with a strong track record of scientific excellence to advance methodological innovation in genomics-guided artificial intelligence, aiming
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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offers excellent and free health and education systems. What we expect You have a PhD degree in an area related to Interactive Technologies, Artificial Intelligence, or Software Engineering. You have a
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PhD Stipends within Distributed, Embedded and Intelligent Systems (DEIS) At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend is available within
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environment. We value our diversity in daily work. Our research focuses on implementation of technologies with key applications within energy systems, software development, artificial intelligence, healthcare
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methodological innovation in artificial intelligence applied to imaging and clinical/biomedical data. The successful candidate is expected to be independent yet collaborative, conducting research
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exciting working day, which includes: Contribute to the strategic development of the faculty's engagement with companies within Medtech, robotics, automation and artificial intelligence Identify and match
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, artificial intelligence (AI), machine learning, and computation have emerged as powerful digital technologies for creatively generating new design ideas and rapidly advancing formgiving methods within