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analyses of public and confidential datasets relevant to the funded projects. Responsibilities include applying causal inference, spatial econometric, and multilevel modeling techniques to examine the
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, they are characterizing how spatial organization shapes these evolutionary outcomes and developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their
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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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-quantitative histomorphometry and image analysis In vitro endothelial and co-cultur models High content imaging and spatial biology (cooperation AG Schapiro, Heidelberg) Single molecule localisation microcopy
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g
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⸻ Preferred / Additional Experience Experience in one or more of the following areas will be considered a strong asset: • Flow cytometry (FACS) • RNA-seq / DNA-seq workflows • Single-cell omics • Spatial
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metastases. spaXio combines cutting-edge methods like spatial multi-omics, 3D tumoroid models, and AI-powered data analysis to uncover how metastatic niches form and how they might be targeted therapeutically
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. Knowledge and Skills Essential: C1 A comprehensive and up-to-date knowledge of vertebrate ecology C2 Skilled in the use of GIS for mapping and spatial analysis of ecological data C3 Skilled in DNA extraction