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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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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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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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population, as 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. More
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of their fellowship period within the duty component of 25 %. More about the position / Project description The research of the Nuclear Physics group is focused on the study of atomic nuclei under extreme
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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
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responsible for day-to-day management of a work 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
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analysis (core and borehole), the integration of new data and concepts with existing seismic models. The project will involve collaboration with industry partners and other scientific teams. The candidate
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collection, analysis, and publications in close collaboration with other team members and under the guidance of Siri Leknes. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. More about the position / Project description The research