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with good gender balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates. The planned PhD research topic will explore techniques to handle protected data in digital
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propose strategies for fields on the Norwegian continental shelf. Competence required in at least one of the following fields: Reservoir simulation, computational modelling Competence desired: Subsurface
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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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modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in analysing and interpreting physical experiments. The PhD candidate will
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interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in
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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
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Literature. The AI STORIES project is a European Research Council Advanced Grant led by Professor Jill Walker Rettberg, with a team of three postdocs, another doctoral fellow, a research adviser, a data
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important part of the mission 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