You will help ensure seamless cross-language usage, robust data exchange, and clear specifications that serve both communities. The Stegle group is jointly based at DKFZ and EMBL and embedded in Heidelberg's vibrant ecosystem for data science, machine learning, and computational biology. * Improve the documentation of the SpatialData format with clear tutorials, examples, and contributor guides that lower the barrier to entry * Software development skills in Python and familiarity with the data science and geospatial Python stack (e.g., xarray, dask; GeoPandas/Shapely a plus) * Experience with R/Bioconductor, AnnData/SummarizedExperiment, Zarr/NGFF, or designing cross-language APIs and data schemas * Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal
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