38 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Umeå University in Sweden
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explores novel methodological approaches using survey and register data. Work tasks The work will focus on exploring and developing quantitative approaches grounded in intersectionality theory and with
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of which four are doctoral students. For more information about the department, see www.umu.se/en/umea-school-of-architecture . UmArts supports interdisciplinary research across artistic and other academic
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brain imaging methods as a window into human brain plasticity. Projects will combine new data acquisition with analysis of existing datasets, and may leverage: MRI (structural, diffusion, and functional
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advanced AI/LLM methods. The Staff Scientist will lead development of LLM-powered analysis and knowledge tools (e.g., retrieval-augmented generation over omics + literature, automated data-to-insight
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/other relevant publications 6. Other merits of relevance for the position 7. Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete
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their epigenetic repressors such as DNA methylation. Importantly, our preliminary data revealed significant alterations in this epigenetic repression as we age, posing one of the group’s main research questions: How
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this, we will apply novel tools based on semi-permeable capsules, including various analytical and biochemical methods, molecular barcoding, sequencing, and high dimensional data analytics. The project will
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mechanisms by which TEs regulate gene expression in the human brain, including through interaction with their epigenetic repressors such as DNA methylation. Importantly, our preliminary data revealed
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underlying physiological processes and pathological conditions. Meritorious Expertise in developing cutting-edge neurotechnologies, including advanced molecular methods, which not only improve data analysis
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you will have access to the supercomputing facility at Umeå University, and to unique large-scale data infrastructure (www.umu.se/en/research/infrastructure/umea-simsam-lab/ ) covering the whole Swedish