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/2026 Back to Search Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Number req26727 Department Biosphere 2 Department Website Link https
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team. Perform spatial integration (alignment, upscaling/downscaling) for comparative analyses. Assess the distribution of modeled exposures and health impacts across population subgroups. Contribute
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. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions or removals from vegetated wetlands, coastal systems, and inland
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, or interoception. Adipose tissue biology, thermogenesis, metabolic physiology, glucose and lipid metabolism, obesity and diabetes models, or mouse metabolic phenotyping. Single-cell genomics, spatial transcriptomics
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ERC-funded Postdoctoral Researcher (m/f/d) in Zebrafish Optogenetics & Single-cell Genomics (Berlin)
funded by the German federal government and 10 percent by the state of Berlin. Our group builds quantitative models of how different epigenetic layers of transcriptional regulation interact during
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in a sample Optimize and validate the performance of a MIP microscope setup in terms of sensitivity, spatial resolution and quantification through systematic experimentation and mathematical modelling
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, including spatial transcriptomics In vivo imaging of neural circuit deficits in zebrafish Pharmaco-behavioral profiling to identify pharmacological candidates Key responsibilities Analysis of molecular
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is to combine ultra-high-precision spatial localization, reduced acquisition times, and access to key photophysical parameters enabling characterization of the local environment of fluorophores
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, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal, networked, or urban systems data contribute to the preparation and submission of journal articles, conference
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and