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. research Fellow will be working in the research group for Process Safety, Combustion, and Explosions. The place of employment is at our campus in Porsgrunn. The PhD position is a full-time position, and the
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development of a sea ice model-data assimilation framework in WP3 of SI/3D and perform seasonal sea ice forecasting experiments. The postdoc will set up the data assimilation framework for summer sea ice
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to reconstruct the sequence and duration of events from multimodal video sources Use multimodal data combining event recognition with risk prediction Create fine-tuned generative AI models that transform video
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modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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teaching at the Department. Project start is planned for February 1, 2026 or as soon as possible. The postdoc will be part of the research group for mathematical cognition: https://www.ntnu.edu/ilu
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Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies
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at Integreat - Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and
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candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners
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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train