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analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with faculty and students. This role provides an excellent opportunity to develop expertise
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-insect community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification
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complementary expertise spanning engineering student learning and identity, faculty development and pedagogy, design- and project-based learning environments, institutional transformation in engineering education
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faculty and students. This role provides an excellent opportunity to develop expertise in: Integrative data analysis approaches, involving the synthesis of findings across independent studies. Lifespan
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students
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contribute to existing projects and will also have the opportunity to develop independent or collaborative lines of research aligned with the lab’s mission. The successful candidate will play a major role in
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expertise spanning engineering student learning and identity, faculty development and pedagogy, design- and project-based learning environments, institutional transformation in engineering education, and
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Professor Allison Godwin, a tenured engineering education faculty member in CBE, and Professor Alexandra Coso Strong, a tenured engineering education faculty member in CBE and the Systems Engineering Program
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with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm models with explicit modeling of soil processes and plant growth. Familiarity with system