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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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communication skills in English Hands-on experience with bioinformatics and the analysis of high-throughput ancient DNA sequencing data Strong statistical skills The candidate must demonstrate an interest in and
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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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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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cancer phenotypes, and their potential prognostic value. The project involves cancer cell culture, various molecular and cell biology techniques, chromatin analysis methods, and microscopy imaging. We use
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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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call for projects on language diversity and multilingualism in Norway, a growing research field. The project will add empirical data and analysis to heritage language linguistics, focusing on individuals
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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