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Field
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spatial and seasonal distributions of PFAS and identification of the key processes controlling their fate (dispersion, transformation, sediment retention). Contribution to modeling PFAS transport in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
-content spatial transcriptomics and proteomics technologies, aerobic/anaerobic cell culture technologies, single-cell RNAseq technologies, Qpath/Visiopharm/site-based image analyses, murine studies
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://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 10 hours ago
nebulae, protoplanetary disks—but also from exoplanets and galaxies. The data and tools will enable interpreting observational data from NASA missions, notably, JWST, which is now spectrally and spatially
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Graphab is a graph-based software to model
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a post-doctoral researcher to join WP2 on the AI4MAP project, primarily focusing on developing adaptive sampling and spatial modelling strategies. The work will concentrate on designing and