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desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality theory, sequential inference, computational
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experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality
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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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biofilms, or under anaerobic conditions), microbial fermentation with automated systems (bioreactors), or molecular biology analysis relevant to microbial communities (for example qPCR and/or FISH
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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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growth of non-model bacterial species (ideally in biofilms, or under anaerobic conditions), microbial fermentation with automated systems (bioreactors), or molecular biology analysis relevant to microbial
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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, including
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience knowledge
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for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi/english/research/groups/dsb/index.html) as part of Visual Intelligence (http://visual
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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