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on respiratory disease in a longitudinal perspective. It will be based on data from a large cohort of individuals extending back to 1990 from the Respiratory Health in Northern Europe (RHINE) study, as
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existing data linkages available in CREATE. These include linkages of registry data across several decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data
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novel methods and statistical software that are tailor-made to the research questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential
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results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in
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results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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20 Feb 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Physics Researcher Profile Recognised Researcher
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. The successful candidate will contribute to the main goals of the project, with emphasis on data analysis and quantitative comparison to observations/helioseismology, and (depending on profile) contribution
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar 2026