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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key
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models. A multidisciplinary approach is expected, integrating microfabrication, cell component and biomaterial incorporation, advanced imaging and staining of specific biological features. You will be
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. Documented experience with bioinformatics and/or multi‑omics cancer data integration (e.g. genomics, transcriptomics, proteomics, imaging). Experience from interdisciplinary collaboration with biologists