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in 2D cells and single-cell multi-omics (scRNA-seq, scATAC-seq, Multiome) data generated in 3D forebrain dorsal organoids, we aim to map regulatory networks sensitive to NR2F1 expression levels. Our
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biological questions through data, we would be delighted to hear from you. The application must include your motivation, a brief statement of your scientific interests, contact details from three
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applications that improve healthcare outcomes and user experiences. You will collaborate with researchers, clinicians, and data scientists while enjoying outstanding technical resources, scientific freedom
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with deeply annotated outcome data across tens of thousands of cases (Ritter et al., Nat Cancer 2026; Maas et al., Nat Genetics 2026). Our recent work includes Hetairos, a histology-based AI model
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Contribute to the scientific development and coordination of research activities and workflows in the heiMAG Laboratory Develop, validate and document reproducible analytical methods, data-processing
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mechanisms and biomarker candidates related to extracellular vesicle biology Develop data-driven hypotheses and translate them into experimental validation strategies using cancer cell and organoid
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. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en