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motivated and skilled postdoctoral researcher to lead a multifaceted project focused on utilizing the immunogenomics, transcriptomics, and proteomics approaches to unravel the complexities of human diseases
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protein biochemistry and/or cryo-electron microscopy, including at least one of the following: single-particle analysis, cryo-ET, or 2DTM. This position is ideal for researchers who want rigorous training
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generates diverse cell types and assembles complex neural circuits. We are particularly interested in how these developmental programs are disrupted in neurodevelopmental disorders and brain tumors. Grounded
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is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow
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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