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project´s overall objective is to provide an experimental and numerical framework to predict CO2 gas hydrate self-sealing in geological formations. Our multi-scale approach is cross-disciplinary and aims
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geological formations. Our multi-scale approach is cross-disciplinary and aims to identify criteria and quantify the risk mitigating potential of CO2 gas hydrate sealing. The PhD candidate will work in an
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computational and biological sciences to address complex life science challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project
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current and electro stunning. Candidates should have experience with and knowledge of bioimpedance and multi-physics simulations, or similar. It is advantageous if the candidate has basic knowledge
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for accepting SIT observations from radar altimetry into the multi-sea ice thickness-category FESOM2-ICEPACK model, testing the assimilation of data at different processing levels (ITDs, freeboard, and different
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The Norwegian Centre for Clinical Artificial Intelligence at the University Hospital of North Norway. In SPKI, the focus is patient-centered AI, in the sense that implementation and actual use of AI
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framework of EA:RTH and demonstrates a strong collaborative approach to fieldwork. The PhD topic should centre around the theme of Environmental Tension - broadly defined as conflicts or contestations with
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represented by Center for Language, Brain and Learning (C-LaBL). In addition, there are research groups within language acquisition and multilingualism (Acquisition, Variation, and Attrition with focus
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of three topics: 1. Combining synthetic aperture radar (SAR) images with probabilistic weather prediction models to view and predict dynamic sea ice properties. 2. Using multi-frequency SAR, coupled with in
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and the Norwegian Research School in Social Work and Child Protection (NORWEL), as well as Arctic Research Center for Children and Youth at Risk. The PhD candidate will also participate in research