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subpolar North Atlantic. The PhD project will rely on the analysis of available observations, data from high-resolution models and reanalyses, Lagrangian simulations, and new NorESM (Norwegian Earth System
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data analysis, for example diffraction (XRD), microscopy (SEM, AFM), cryogenic measurements, or numerical/data-driven analysis from large-scale facilities. Ability and motivation to develop skills in
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institution The career promoting work will mainly include supervision of master’s students in register-based epidemiology and health data analysis, development of educational material, organization
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paragraph declaring if and how AI was used in the development of the proposal. Applicants should have experience within regression analysis and/or the sociology of deviance. Experience with quasi-experimental
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by CRIMLIFE. Preferable qualifications: A demonstrated knowledge of, experience with and interest for life-history interviews, narrative analysis and life-course criminology is desirable. Knowledge
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-vegetation interactions. Depending on the chosen topic, the research may involve advanced statistical and diagnostic analysis, numerical experimentation with climate and prediction models, and developing
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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