Research experience implementing statistical learning or machine learning (e.g., Bayesian inference, deep learning), ideally connected to spatial omics, and experience with frameworks like PyTorch, Keras, Pyro, or TensorFlow - We also offer substantial opportunities for professional growth, learning, and leadership, including mentorship, structured code reviews, participation in conferences and hackathons, and visibility through community calls and cross-consortium initiatives. 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. * Software development skills in Python and familiarity with the data science and geospatial Python stack (e.g., xarr
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