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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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at the local level, within households, communities, and local politics. The project combines large-scale surveys, survey experiments, administrative and archival data, GIS, and qualitative field research in
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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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project at CERN, funded by the Research Council of Norway. The experiments at the Large Hadron Collider (LHC) at CERN are currently collecting data until 2026, after which the accelerator and experiments
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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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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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EuRope ), funded by the Research Council of Norway. About the project/work tasks: As a postdoc within a large international and interdisciplinary team you will use spatial modelling techniques
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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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description of how 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