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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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. The project is of strategic relevance for the CCS development in the North Continental Shelf as the project aims to provide new fault data and innovative workflows for fault characterization analysis
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analysis, development of educational material, organization of environmental activities, as well as dataset management and administrative tasks within UiO:Real-World Evidence and the UiOLifeScience
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background in semiconductor physics Experience with experimental work in a cleanroom setting Strong data analysis skills Fluent oral and written communication skills in English. Candidates without a master’s
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the ranking of the candidates: Experience with gamma-ray detectors Experience with data analysis techniques relevant for extracting absolute cross sec-tions and stacked-target experiments Familiarity with data
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and chemistry laboratory environments. Experience in experimental methods and data analysis, for example diffraction (XRD), microscopy (SEM, AFM), cryogenic measurements, or numerical/data-driven
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role in data collection and analysis, and contribute to dissemination of results. The advertised position will work within the NOBELL project, which has close links to the Center for Language Brain and
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: Valid driver’s license. Programming and numerical analysis skills (e.g., Python, MATLAB) and/or experience with groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with
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, multilevel modeling, event history analysis, or panel data methods. Experience with interdisciplinary research and collaboration across social sciences, health sciences, or related fields. Prior involvement in
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fuel, cargo and/or its handling and use in ports. More generally, the postdoctoral project should contribute with analysis on opportunities to develop maritime-linked hydrogen value chains (with a