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abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen@health.sdu.dk
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cytometry, fluorescence imaging, mouse models, single-cell RNA sequencing, or molecular and cellular biology. Candidates should have a Ph.D. (or equivalent) degree or should be close to obtaining
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are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI, fMRI, DTI
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applications for a postdoctoral position to study the impact of nutritional state on brain function and brain energy use. For our investigations, we use cutting-edge techniques—including multiphoton imaging
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operate. Our approach We combine biochemical reconstitution, live-cell imaging, multi-scale structural biology, and omics technologies to uncover how the nuclear envelope functions as an intelligent
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management support, with concrete prototype, by analyzing and understanding data through models—both static and dynamic representations that capture the knowledge and behavior of a physical system. The role
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) quantification tools, holding back early immunogenicity risk assessment in the context of protein drug development. A clearer understanding of the rules governing T cell activation would form a paradigm shift in
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this research project, state-of-the-art techniques will be employed including multi-spectral imaging, methylome analyses, RNA-Seq at single-cell and bulk levels, cell culture as well as bioinformatics analyses
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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Lab ). Integrative analysis of single-cell multi-omics and spatial imaging data in cancer, immunology, organoids, etc., in the context of the Human Cell Atlas (single-cell analytics) and/or the ELLIS