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at the German Cancer Research Center in Heidelberg, is seeking for the next possible date a Postdoc – Spatial Single-Cell Perturbation Maps Reference number: 2026-0031 Our division is interested in systematically
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. Pulmonary nodules from hundreds of patients are being collected and biopsied as part of a prospective imaging study. Up to 40 FFPE biopsy samples will be analyzed using spatial transcriptomics and mutREAD DNA
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chronic obstructive pulmonary disease (COPD). We know they matter. What we don’t know is how and why. That’s where you come in. The current scientific discussion evolves around the following topics: Spatial
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 4 hours ago
, and environmental structure, with a particular focus on ring attractor networks—a conserved neural architecture implicated in navigation and spatial representation across diverse taxa. These circuits
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well as the consolidation and reconsolidation of memory are studied. Within this frame, the FAM has recently identified new spatial and non-spatial subnetworks segregated along the proximodistal axis of the hippocampus
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biodiversity patterns, utilizing both spatial and statistical expertise. At this stage of the subproject of the CRC the project aims to evaluate whether ecological patterns previously identified in the RESIST
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PhD in Vascular Biology, Neuroscience, Molecular Biology, Computational Biology, or a related field Expertise in single-cell and spatial omics analysis (scRNA-seq, ATAC-seq, CUT&RUN, MERFISH, Visium
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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of the fastest worldwide due to its unique geometry and beam characteristics. It allows ultra-fast in-situ measurements as well as highest spatial and density resolution. Additionally, the highly coherent beam
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driving sex-specificity in tumorigenesis, organismal development, and spatial biology of the liver. To do so, we intersect large-scale genetic analysis utilizing experimental models with spatial and single