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engineering. Your supervisor will be Professor Daniel Rettenwander. About the project There is an increasing need to extract lithium and other commercially valuable elements from brines and recycled batteries
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partners from news media and media technology research topics like media experiences and trust, recommender technology, content production and analysis, content interaction and availability, and Norwegian
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Learning from Human/AI Feedback). Moreover, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data
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creativity, problem solving and knowledge co-creation. Moreover, they will employ extensive case studies in collaborating partners (schools, public and private sectors) and engage with the analysis
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-creation. Moreover, they will employ extensive case studies in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal
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, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is
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sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is to explore how humans interact with the automatically generated content, how humans and AI co
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analysis. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in accordance with NTNUs guidelines
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partners (schools, public and private sectors) and engage with the analysis of the collected data. This main goal of this particular PhD fellowship is to explore how humans interact with the automatically
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain