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for research-based AI Innovation hosted at NTNU in Trondheim, Norway. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods and technology, for
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PhD project. Fluency in both oral and written English is required, see documentation requirements for further details. The applicant’s personal suitability for the position is a significant factor in
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to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in industrial solutions. Currently the center concentrates their activities
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inflow models applied in the Norwegian Hydropower Industry, the PhD will develop, test and implement new methods for higher spatial resolution of the inflow to the watercourses and investigate
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other commercially valuable elements from brines and recycled batteries. However, current extraction processes face challenges related to ion selectivity and transport efficiency, limiting the performance
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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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an explicit reflection that, when presenting the project, makes it possible for others to take part in the working method and insight that the research generates. Read more about the PhD education at UiS on our
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interview. A solid knowledge of quantitative and qualitative research methods. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you
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language skills will be assessed in a personal interview. A solid knowledge of quantitative and qualitative research methods. PLEASE NOTE: For detailed information about what the application must contain
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. A solid knowledge of quantitative and qualitative research methods. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you cannot