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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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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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foundational neural models that learn from large unlabeled image datasets, also incorporating context from additional data such as wireline logs or well reports. You are suited for this position if you are
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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
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from Earth System Models is a requirement, as is experience working with large observational data sets. Any experience with NorESM would be highly advantageous. A strong background within the area of
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in large-format commercial cells. The candidate will contribute to the development of the growing research activity in electrochemistry and lithium-ion batteries. We are looking for a highly motivated
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of Agder, Faculty of Engineering and Science as a PhD Research Fellow in cybersecurity for Electrical Smart Grid, affiliated to the Department of Information and Communication Technology for a period of
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15 Nov 2025 Job Information Organisation/Company University of Agder (UiA) Research Field Chemistry » Other Engineering » Electrical engineering Engineering » Other Physics » Other Researcher
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creative fields. See mishmash.no for more information. This PhD position will be part of Work Package 4 in MishMash – Creative Use of AI in Education. The candidate is expected to contribute to answering