30 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Umeå University
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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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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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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
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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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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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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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research experience in the field of informatics/information systems/HCI – human-computer interaction. Since employment as a postdoctoral fellow is a merit-based position for junior researchers, we primarily