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Familiarity with large-scale survey data, conflict and political violence event data, and administrative datasets Strong analytical skills and ability to communicate clearly Ability to work both independently
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work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory
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., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K
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dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles
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modelling, data-driven climate modelling, and working with large ensembles of climate/weather model output are advantages. The LEAD AI mobility rules must be followed. Outgoing fellowships require
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with register data or large datasets will be considered an advantage. Experience with, or knowledge of, Nordic health registries or databases and/or pharmacological epidemiology is desirable. Experience
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STATA, R, or SAS, will be viewed positively. Documented or demonstrated ability to work independently with register data or large datasets will be considered an advantage. Experience with, or knowledge
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8 Sep 2025 Job Information Organisation/Company University of Bergen Department Department of Biological Sciences Research Field Biological sciences Researcher Profile Recognised Researcher (R2
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treatment options for women. The research is organized into three work packages: WP1 will analyze large-scale registry data from the Nordic countries and England to assess the safety of modern ASMs. WP2 will
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the visit abroad is integrated and how it will add value to the project For further information about the evaluation criteria please visit here Qualifications and personal qualities: The positions