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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 high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C). Familiarity with epigenetics, gene regulation, or chromatin biology. Demonstrated ability to work
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for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders
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be placed on compatibility of the applicant’s professional and personal disposition, with strengths in: Systematic approach Analysis and assessment Implementation Self-development Initiative and
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significant contributions to the experimental work, taking on responsibilities for data analysis. This includes developing relevant data analysis techniques and software, as well as conducting Monte Carlo
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able to participate in the larger Cosmoglobe project (PI: Prof. Ingunn Wehus), including analysis of archival data such as AKARI and DIRBE, as well as ongoing projects (e.g., COMAP and PASIPHAE) and
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fragment separator at RIKEN Nishina Center (Japan). The candidate is expected to make significant contributions to the experimental work, taking on responsibilities for data analysis. This includes
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• Experience with bioinformatics • Familiarity with high-throughput sequencing data and genome analysis. • Excellent written and spoken English skills, see requirements: https://www.mn.uio.no/english
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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eligible for appointment. Demonstrated experience in epidemiological modelling and infectious disease dynamics. Experience working in interdisciplinary teams. Proven skills in statistical analysis and