9 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Genentech
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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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transcriptomics and screening experiments. Analysis of perturbation and spatial-omics datasets Build predictive models delivering novel scientific insights. Who You Are: Ph.D.in Biology, Bioengineering, Molecular
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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the molecular pathways of disease and to establish the mechanism of action of our therapeutics. The successful candidate will work with our team to analyze multi-level biomarker data generated from pre-clinical
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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
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molecular, cellular, or cancer biology, or a related biological or biomedical science. Have solid technical and computational skills. Experience with mammalian cell lines and lentiviral vectors, -omics
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. The postdoctoral fellow will initiate a research project to investigate interactions between commensal bacteria and/or pathogens and the host intestinal or respiratory mucosa at the molecular level. The successful
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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