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. The successful candidate will contribute to advancing climate risk assessment, integrating scientific and local knowledge, and utilising innovative sensor data and community-generated observations to improve
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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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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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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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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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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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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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context; (g) analysis of large amounts of quantitative data, data merging, data management (“big data”) A strong publication track-record and experience with publishing in international top journals
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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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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