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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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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
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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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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of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and