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- NTNU - Norwegian University of Science and Technology
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south of Oslo. via Unsplash Main responsibilities Development and testing of digital solutions for small forest owners. These solutions include Computer vision models and a digital assistant based on a
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accurate information. Machine learning allows for the systematization and processing of this data into new forms of information to support the management of forest resources and ecosystems. The PhD candidate
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involves a longer stay there. The collected data is to be processed and analysed in order to propose relationships between them and the weather. From these, models are to be proposed, both for modelling
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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 Are you motivated to take a step towards a
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, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from
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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 Are you motivated to take a step towards a
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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 Are you motivated to take a step towards a
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable
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commercially important food fish, ii) develop cell-specific alga-derived medium and scaffold/microcarrier, and iii) scale up (bench-scale) of the cultivation process based on protocols developed. Candidates must