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Institute), and provide the opportunity for collaboration with experts in Southern Ocean oceanography and modelling, ice modelling and atmospheric dynamics through partners at NORCE, UiT The Arctic University
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worldwide in terms of Arctic research output, and is partnered with the Norwegian Polar Institute and NORCE. We work together across disciplines to answer some of the biggest questions in polar research. iC3
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worldwide in terms of Arctic research output, and is partnered with the Norwegian Polar Institute and NORCE. We work together across disciplines to answer some of the biggest questions in polar research. iC3
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Centre is hosted by UiT, The Arctic University of Norway, the top university worldwide in terms of Arctic research output, and is partnered with the Norwegian Polar Institute and NORCE. We work together
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and Technology offers study programs at bachelor, master and doctoral level. The faculty has established close cooperation on research with NORCE (Norwegian Research Centre AS) and the regional industry
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doctoral level. The faculty has established close cooperation on research with NORCE (Norwegian Research Centre AS) and the regional industry. A number of master's and doctoral theses are made in
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
predictions and km-scale regional downscaling. The work will be done in close collaboration with scientific partners in I4C, in particularly MeteoFrance and NORCE (Norwegian research centre). The University
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
MeteoFrance and NORCE (Norwegian research centre). The University of Bergen is part of the Norwegian Artificial Intelligence Research Consortium and the candidate will work in a highly international working
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analyses. In addition research teams at Norwegian Research Center (NORCE) and Institute of Marine Research (IMR), as well as collaborators across the globe, will provide samples and their characterization
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data