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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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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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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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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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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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of: 120 geothermal wells, 10 of which are dedicated to research, containing various types of borehole heat exchanger designs Two large-scale commercial heat pumps, each with a capacity of 1.3 MW Two
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University of Oslo, Department of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship within the research project “Statistical Methods for Online Detection
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26 Nov 2025 Job Information Organisation/Company University of Stavanger Department Department of Energy and Petroleum Engineering Research Field Technology Engineering Researcher Profile
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with silicon probes, Neuropixels, tetrodes or in vivo imaging. Demonstrated experience with computational, statistical analysis or modeling of large-scale behavioral and/or neurophysiological data (in