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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
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. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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). The literature about the Oslo Region successions is extensive, providing a solid foundation for further research. NHM in Oslo has large collections of fossils and rocks, and field exposures are well known and
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variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with handling large datasets, such as CMIP data, is an advantage
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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structured manner motivation, sense of responsibility and accountability, work capacity and enthusiasm for research via Unsplash We offer varied duties in a large, exciting and socially important organisation
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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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the project period and that the scientific results will be disseminated in internationally recognized, open access journals/publishers. Contact For further information about the position, please contact