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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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. The project will leverage large-scale longitudinal data from the Adolescent Brain Cognitive Development (ABCD) Study and conduct a new longitudinal study with adolescent girls initiating HC use. For more
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factors. The project will use large-scale longitudinal survey data linked to national prescription registries and apply causal modelling frameworks to identify potential causal pathways linking HC use
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in foundational neural models that learn from large unlabeled image datasets, also incorporating context from additional data such as wireline logs or well reports. You are suited for this position
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emphasized. via Unsplash We offer professional development in a large,excitingand socially influential organisation a positive,inclusiveand diverse working environment modern facilities and a comprehensive set
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to understand and improve outcomes for inflammatory skin diseases, with a main focus on psoriasis . For this purpose, we are utilizing data from large population-based cohorts, including the HUNT Study . The HUNT
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, and how their combination can improve safety signal detection. As a PhD fellow, you will be working with large-scale longitudinal data, managing data, writing scripts, performing statistical analyses
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Psychological sciences Researcher Profile
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. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets or registry data is an advantage, but not necessary. • Fluent oral and written communication skills in English