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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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(LJE) in the GOE-DEEP drill-cores. Sampling of drill cores (and potentially outcrops) for detailed isotopic-geochemical analyses including component-specific analysis using bulk techniques on micro
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to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx
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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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atmosphere, and value a gender balanced and inclusive environment. The candidate will take part in the larger Cosmoglobe project aiming to do joint end-to-end analysis of a wide range of cosmological datasets
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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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Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical and numerical methods for analyzing stochastic transport equations, which
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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