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the following fields: Large Language Model-based application development. Knowledge Graph Development for Sensor Data. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial
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how to benefit from recent research in foundational neural models that learn from large unlabeled image datasets, also incorporating context from additional data such as wireline logs or well reports
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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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comprehension. The PhD student will collect and analyse quantitative data (surveys, ratings, physiological data, reading comprehension) collected in a selection of classes in upper secondary schools. Project
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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 Economics. The position is part of a large interdisciplinary research project, Freedom to Choose (FREE) , financed by the Research Council of Norway and hosted by FAIR – Centre for Experimental Research
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methods for training models, exploring/developing approaches for multimodal data, utilize context beyond pixel level, and efficiently use self-supervision for large unlabeled data sets. You will transfer
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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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creative domains. See MishMash Centre for AI and Creativity | A Norwegian AI centre funded by the Research Council of Norway (2025-2030) for more information. This postdoc position will be part of WP6 (AI