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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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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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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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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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teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at UiT in Tromsø. You must be able
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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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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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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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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