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for a highly motivated PhD fellow. The successful candidate will apply cutting-edge spatial proteomics to uncover the molecular architecture of the cardiac conduction system (CCS) and elucidate mechanisms
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transcriptomics and spatial lipidomics to create quantitative models of immune-metabolic communication across tissues The project combines controlled mouse models of maternal inflammation with advanced multi-omics
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. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics of patient skin biopsies, and mechanistic
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to apply Website https://jobrxiv.org/job/university-of-copenhagen-27778-postdoc-in-spatial-genom… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity
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to oxygen levels and tumor aggressiveness. Using imaging-based measurements of pH and O₂ in mouse tumor models, we will integrate these readouts with spatially resolved single-cell transcriptomics to identify
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of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics
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Aarhus University’s Department of Ecoscience invites applications for a 2-year postdoc to co-develop a spatially-explicit individual-based dynamic energy budget model (DEB-IBM) for high-Arctic
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
of (micro)RNA biology, 3D human model systems, nanomedicine, and computational (ML) disease modelling. You will be able to contribute to our vision to translate basic findings into medicinal RNA approaches
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
intersection of (micro)RNA biology, 3D human model systems, nanomedicine, and computational (ML) disease modelling. You will be able to contribute to our vision to translate basic findings into medicinal RNA
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networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and