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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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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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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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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two
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are to analyse data from the long-term follow-up of the TARA study and to analyse biomarkers for autonomic regulation, cortisol metabolism, neurodegeneration, and neuroprotective factors. This will be done in
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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
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combine experimental studies with the analysis of in vivo blood and muscle data. Since the project is translational, you will collaborate with both clinical and preclinical researchers as
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of Informatics (Faculty of Social Sciences), which contributes perspectives on human-computer interaction, information systems, digital practices, and socio-technical change, with a focus on how digital