14 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Genentech
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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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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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sense of humor and a collaborative mindset to thrive in our dynamic research environment. The Opportunity: Work closely with experimental colleagues to build, train, and evaluate cutting-edge AI models and multi
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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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vulnerabilities and their relationship with molecular context. Spanning functional genomics and large-scale clinical genomics, the postdoctoral fellow will build and train new models to understand the impact of
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, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join
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. Creating a world where we all have more time with the people we love. That’s what makes us Genentech. Genentech’s Clinical Pharmacology Modeling & Simulation group seeks a postdoctoral fellow (or artificial
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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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to cutting-edge research in emerging therapeutic design and discovery, structural biology, and molecular biology. Who You Are: Ph.D. with a proven track record of excellence in Chemistry, Chemical Biology
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on developing and applying foundational AI models to investigate clinically relevant cancer vulnerabilities and their relationship with molecular context. Spanning functional genomics and large-scale clinical