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Field
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robust 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
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Research Fellowship period at the University of Oslo. Place of work is the Department of Mathematics, Blindern, Oslo. This position is part of the research project “Towards Matching Bounds in Large
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archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx and SPIDER, as well as future experiments like LiteBIRD and FOSSIL. We have a large
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learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
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of national and/or international large-scale assessment data, including the analysis of longitudinal data Applicants must have documented advanced knowledge of educational inequalities Applicants must have a
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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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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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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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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