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is a large national center gathering all research and industry partners in Norway who are focused on batteries. Responsibilities Advances in battery technology are driving innovation in industries
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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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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
next generation neural networks for advanced analysis of image and multimodal data. Central research challenges are to develop neural networks that learn more efficiently from limited data
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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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tasks Personal qualities and suitability for the position will be emphasized. via Unsplash We offer Professional development in a large, exciting and socially influential organisation A positive
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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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in quantitative analysis and computer programming, preferably using R, MATLAB, or Fortran is a requirement. Demonstrated experience working with large field datasets is a requirement Experience with
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, or Fortran is a requirement. Demonstrated experience working with large field datasets is a requirement Experience with acoustic data analysis and related software is an advantage A background in one or more
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of molecular properties (RT3/4) with very high precision, and integrated in the Hylleraas Software Platform (RT0) to enable the scientific community at large to use MRChem as a tool, thus generating a