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advanced AI-enabled methods for uncertainty analysis and quantification to support high-fidelity IoE digital twins. The research will investigate approaches for identifying, modelling, and integrating
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. The project will contribute to research within human–computer interaction and human factors on topics including: human–AI teaming in safety-critical work AI transparency and explain-ability in operational
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2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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-depth knowledge of qualitative methods and documented experience with long-term, independent ethnographic field research. Language skills enabling ethnographic fieldwork in candidates’ proposed research
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20 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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" reflected in all our activities. We offer more than 40 study programs, from one-year programs to PhD-programs within e.g. Health Sciences and Social Care, Informatics, Law and Social Sciences, Logistics
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9 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electronic Systems Research Field Computer science Researcher Profile
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at the same time an application for admission to a PhD program at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an
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artificial intelligence (AI) methods. The material mapping results will be validated using complementary analytical techniques applied to the same artworks. In addition, style characterization of the paintings
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/quantitative methods) Familiarity with programming or computational methods Familiarity with cybersecurity, privacy, or data protection challenges in maritime or other safety-critical domains Good oral and