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be developing and applying advanced AI models and sophisticated multi-agent systems to address pressing challenges in regulatory genomics. Key research areas include: Mechanisms of Common and Rare
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networks, and how these can be exploited for therapeutic intervention. We employ state-of-the-art in vitro and in vivo models to dissect cancer biology and develop new strategies to target key
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, uncertainty) is required. A publication record of substantial/influential work is expected. Preferred Qualifications: Experience with ODE-based systems modeling (especially of biological systems), such as
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of neurodegeneration with the ultimate aim of targeting them to alleviate disease. A position is available for a postdoctoral fellow with expertise in molecular and cellular neuroscience, iPSC-derived models, and omics
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models to predict TCR-peptide/MHC (pMHC) interactions. Utilizing structural computational biology techniques to characterize and model TCR-pMHC interactions. Designing experiments to test and validate
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) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This position is based within
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leveraging collaborations within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record
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models with cutting edge molecular techniques to define the pathobiology of respiratory diseases and develop novel therapeutic strategies. The Müller Lab collaboratively designs high-throughput molecular
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. The Lamba lab is interested in understanding retinal disease pathogenesis using human stem cell and animal based models. (Kandoi et al. Elife 2024, Chirco et al Stem Cell Reports 2021, Neves et al. Science
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at Genentech (gCS). The group develops and applies state-of-the-art ML/AI models to address open questions in genome biology, with the goal of understanding causal mechanisms of disease and facilitating drug