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how people estimate quantities. The project combines theoretical modeling with behavioral experiments to advance our understanding of the cognitive processes that connect our sense of magnitude with
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UiO/Anders Lien 5th May 2025 Languages English English English PhD Research Fellow in Arctic-Boreal vegetation modeling Apply for this job See advertisement About the position / About the job
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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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one in Tromsø (UiT The Arctic University of Norway). Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations
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standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements. Apply for this job Deadline
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something we aim to achieve in the project. The work will involve theoretical and computational modelling of the droplets and how they wet soft interphases. It is planned that the numerical simulations and
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implement a framework to infer anisotropic viscosity from both ice and mantle textures in a numerical flow model. This will open new avenues for understanding solid earth and cryosphere dynamics, and their