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postdoc, the candidate should establish models, frameworks, and technologies to create interactive, and adaptive learning experiences, and evaluate these. Duties of the position The candidate will be a
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of the collected data. This main goal of this particular PhD fellowship is to develop innovative applications, tools and models for AI game-based learning. Further, in collaboration with a postdoc, the candidate
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position is within the field of experimental materials physics and nanotechnology, in the project «Nanoscale imaging of magnetic skyrmion dynamics in thin film devices» (NIMSKY). Magnetic skyrmions
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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of SecurEL. The PhD candidates funded by the Centre will contribute with cutting-edge knowledge and research. Overall, the Centre will directly finance 17 PhD and postdoc positions, and also have several
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integrate advanced 3D cell culture, confocal and nano-CT imaging, and cutting-edge transcriptomic techniques, including single-cell and spatial transcriptomics, to map receptor-driven pathways involved in
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of SecurEL. The PhD candidates funded by the Centre will contribute with cutting-edge knowledge and research. Overall, the Centre will directly finance 17 PhD and postdoc positions, and also have several
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images via Unsplash Qualifications requirements A completed Norwegian doctoral degree or a doctoral degree recognized as equivalent to a Norwegian PhD in runology or related fields (Old Norse philology