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model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate will also design and develop new software and prototype models
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to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will
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outcomes Synthetic data generation (virtual patients) Statistical model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate
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25th January 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in Modelling of Electrochemical Gas Evolution in
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application process here. About the position The Department of Materials Science and Engineering (IMA) at the Natural Science Faculty, has a vacancy for a position as PhD candidate related to modelling
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leader is the supervising Professor, and your Line Manager is Head of Department. Duties of the position To develop methodology for risk assessment and modeling providing early warnings on the risk level
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be used to build process models describing the performance and impact of degradation. The overall aim is to increase our understanding of how to design cost-effective CO2 capture plants through a
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and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge
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; Industry 4.0 and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts
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of maritime business models. As digital solutions replace manual coordination and increase data-driven transparency, the patterns of supplier relationships, contractual arrangements, and responsibility