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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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large language model (LLM). Development of new business models and MRV methods, where digital tools support the implementation of payments for ecosystem services. Development of new operational solutions
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"SmartForest" (www.smartforest.no), a center for research-driven innovation. The project focuses on using enabling technologies to support digitalized and sustainable forest management. We are now seeking a PhD
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communication technology that facilitates the use of protection and control systems in the substation. In digital substations the tasks of upgrading, operating, and maintaining the large number of protection
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of marine algae. The position is for a fixed-term period of four years, including 25% (one year) of other compulsory work in the algal collections (e.g. teaching duties, collection management, digitization
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://www.hipeac.net/jobs/15166/researcher-in-communication-systems-permanent… Work Location(s) Number of offers available1Company/InstituteSimula Metropolitan Center for Digital EngineeringCountryNorwayCityOsloGeofield
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research-driven innovation. The project focuses on using enabling technologies to support digitalized and sustainable forest management. We are now seeking a PhD candidate to support our work on developing
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, language history/historical linguistics, epigraphy – with documented runological competence). Documented experience with digital humanities, specifically with encoding and digitalization of (runic
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5th December 2025 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Communication Technology Apply for this job See advertisement This is
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position PhD project: Intra-body Semantic Communication
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-year PhD–position related to use of AI for mapping of forest ecosystems. Increased digitalization and the use of new sensors and methods in forestry generate vast quantities of data and demand more