181 data "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs in Norway
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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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address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. The PhD position is linked to MishMash WP3: Creative Use of AI for Health and Well
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, you should address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main
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AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. The PhD position is linked
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work packages. The data to be analysed will include archaeological sites and finds, Scandinavian excavation reports, radiocarbon dates, pollen data etc. The postdoctoral fellowship period is three years
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. The postdoctoral fellow will collect and analyse qualitative data (video data, interviews in groups and individually) collected in a selection of classes in upper secondary schools. The qualifying project will be
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here
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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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Blindern, Oslo. Project description A fully funded Postdoc position is available on the development of geographic information systems methodology and spatiotemporal modelling for climate-sensitive infectious
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information. How can we design and implement real‐time AI systems for immersive, dynamic, and ethical human‐machine collaborations in artistic performances? MishMash Work Package 1 will address this challenge