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comprehensive range of variables such as temporal states and viral strains. Taken together, this will produce a body of data that can then be used to develop diagnostic biomedical applications. Please get in
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unintended consequences. The project relies on longitudinal school network data and advanced quantitative and computational methods. WHAT YOU WILL DO Work with longitudinal classroom network and survey data
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that can support the development and implementation of robots that meaningfully support everyday work in healthcare. The successful candidate will conduct empirical research and collect data through
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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degree or equivalent within Public Health, Medicine, Data Science or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, is
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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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, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from
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? Round 1 (Jan-March applications): May-July Round 2 (June-August applications): September-October Future Rounds: TBC Submit an application Status: Open for applications The information listed here is
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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