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high-dimensional biological data. Preferred Experience developing deep learning models for multimodal biomedical data. Experience with imaging, single-cell, spatial transcriptomics, electronic health
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, advanced analytics and cutting-edge -omics technologies, and apply state-of-the art methods in transcriptomics, biochemistry, fluorescence and cryo-electron tomography to illuminate the biology of RNA and
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Applications should be submitted to [email protected] by 15 October 2026 specifying “Management Committee Call” in the subject. By submitting their application by email, candidates confirm that they have
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, clinical, imaging, and electronic health record datasets. Advise research group leaders, collaborators, PhD students, postdoctoral researchers, and junior analysts on appropriate statistical, genetic