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Field
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gain training in 2D/3D spatial multi-omics, single-cell spatial pharmacology, AI-enabled tissue analysis, and translational cancer biology, with access to large, high-quality, in-house spatial datasets
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). • Publication record appropriate to stage of career, with recent first author publications. • Experience conducting work overseas will be an advantage. • Interest in interdisciplinary approaches. • Good language
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or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab). • Publication record appropriate to stage
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