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cultural contexts in which digital narratives are received and processed. The CDN investigates the ways that the interactions of human authors and non-human agents renew narrative forms, how digital
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. If you have any questions about the recruitment process, please contact HR-consultant Emilie Mikkelhaug, email: emilie.s.mikkelhaug@ntnu.no. If you find this position interesting, and in accordance with
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
artificial intelligence(AI) on product process and environmental innovation 2) sustainable finance 3) twin transition. Depending on the department`s needs, and the candidate`s competence and preferences
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of your own publications, if applicable A letter of recommendation must also be enclosed We only process applications submitted via our electronic recruitment system and all documents must be uploaded
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), brita.ytre-arne@uib.no . Practical questions about the application process should be directed to: Research Adviser Lene Angelskår, lene.angelskar@uib.no . HR Advisor Pernille Hole, pernille.hole@uib.no
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), brita.ytre-arne@uib.no . Practical questions about the application process should be directed to: Research Adviser Lene Angelskår, lene.angelskar@uib.no . HR Advisor Pernille Hole, pernille.hole@uib.no
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soil washing and separation processes on a research scale. Hence, the position consists of a combination of research and test facility development and coordination. The work is part of the research-based
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immediately. We expect the whole evaluation process, from the application date to an offer being made, to take 3 – 4 months, depending on the number of applications. The expected start date is January 2026
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For questions about the application process: Lars Solheim, Advisor, Faculty of Social Sciences tel. (+47) 38142619, E-Mail lars.solheim@uia.no Eirik Rustad, Administrative Coordinator of CeDiT, Faculty of Social
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation