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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
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heterogeneous sources of information—including remote sensing, forest inventory data, existing forest maps, environmental and climatic data, and emerging large-scale AI representations—can be jointly exploited
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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user groups results from the work of various professional groups within the institute. Collecting weather data and managing and efficiently analyzing large datasets are crucial for performing these tasks
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by itself solve this problem. This project will investigate how optimization and data-analysis tasks can be formulated and run on existing gate-based NISQ platforms under such constraints. The central
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quantum channel rather than the intended unitary transformation. Increasing the number of physical qubits does not by itself solve this problem. This project will investigate how optimization and data
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and a wide range of sports and cultural offers Working location in downtown Oslo with multiple cultural offers Practical information about relocation to Oslo and living in Norway The salary
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arrangements with the Norwegian State Pension Fund Good welfare schemes and a wide range of sports and cultural offers Working location in downtown Oslo with multiple cultural offers Practical information about
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technologies. The position will require large degree of interdisciplinary collaboration within CORA. Your areas of responsibility will be Work on scientific projects related epigenetic mechanísms and weight