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and developing multi-agent systems for large language models (LLMs). Investigating the security challenges and information propagation theories in multi-agent system. Writing high-quality research
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(overturning) in the Nordic Seas and subpolar North Atlantic. The PhD project will rely on the analysis of available observations, data from high-resolution models and reanalyses, Lagrangian simulations, and new
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consisting of senior researchers and 4 different PhD candidates will investigate the Southern Norwegian North Sea source-to-seep system through analysis of new and existing data from four different
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better subsurface understanding, uncertainty quantification, and robust forecasts suitable for emissions reduction, increased energy efficiency, and recovery improvements with large amounts of data
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will
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, and statisticians—on projects that bridge methods, policy, and practice. This role will involve intensive analysis of claims data and related large administrative datasets to support policy-relevant
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar
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well as the Horizon Europe project High-Performance Language Technologies (HPLT). The group represents extensive experience and expertise in web-scale data curation, development of large language models (LLMs), and in
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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with hydrogen infrastructure, based at the department of Technology Systems (ITS) University of Oslo (UiO). This PhD project aims to advance understanding of how the large-scale deployment of hydrogen