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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video
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in entrepreneurship, clinical process innovation, and industry collaboration. Contact Further information about the position and UiT is available by contacting: Professor Brita Elvevåg: phone +47
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, the department hosts seven PhD candidates affiliated with various research groups and academic communities. The research group PrePast focuses on modern historical processes in the High North and the Arctic. A
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project that contributes new knowledge about how Sámi religion is understood, used, and circulated in contemporary contexts, and the role of art, media, and other cultural expressions in these processes
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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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manage sample processing for sequencing and phenotyping. • Design and execute common garden experiments to assess phenotypic plasticity and local adaptation. • Analyze and interpret high-throughput