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Lomagundi-Jatuli carbonate carbon isotope Excursion (LJE) in the GOE-DEEP drill-cores. Sampling of drill cores (and potentially outcrops) for detailed isotopic-geochemical analyses including component
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(and potentially outcrops) for detailed isotopic-geochemical analyses including component-specific analysis using bulk techniques on micro drilled samples and in-situ techniques on thin-sections and
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experience with building Docker containers. Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C). Familiarity with epigenetics, gene regulation, or chromatin
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experience with building Docker containers. Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C). Familiarity with epigenetics, gene regulation, or chromatin
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the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical
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well as data analysis of large-scale registry data comparing mutation carriers to non-carriers. The aim of the project is to generate novel insights into human endogenous opioid function. The project offers
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. The position is set to begin on February 1, 2026, although there is some flexibility in the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN
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modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and mathematical modelling tools. Excellent knowledge of programming languages
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package that centers on laboratory testing of a newly discovered human genetic knockout model population, as well as data analysis of large-scale registry data comparing mutation carriers to non-carriers
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Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing and Image Analysis as part of Visual Intelligence , Norway’s leading research centre