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with quantitative assay development, data analysis, and experimental troubleshooting Is able to work carefully with infection-relevant models and maintain rigorous documentation Is self-motivated
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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, therapeutic development, and commercialization. The ideal candidate will possess extensive experience in molecular biology and in vivo cancer models and have a strong interest in RNA therapeutics and nucleic
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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working knowledge of natural language processing, topic modeling