Sort by
Refine Your Search
-
zebrafish embryos as a model organism with the ambitious aim of establishing clear evidence for extracellular vesicle-driven crosstalk in the brain beyond synapses. Through the project, you will be trained as
-
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
-
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
-
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
-
. 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
-
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
-
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
-
Microwave Spectroscopy system. This technology will unlock an unprecedented combination of ultra-high bandwidth and adaptable spatial resolution, allowing for the simultaneous, multiscale measurement
-
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
-
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