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how we decode cancer biology from spatial multi-omics data. This position offers an exceptional opportunity to build next-generation generative models for complex biological systems, working with large
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experience with latent variable models (especially factor analysis, item response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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are looking for scholars with strong disciplinary expertise who are interested in using their skills to co-create actionable natural capital information for decision makers in complex government and IFI