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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, transport
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testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification, transport, and resistance, and potentially
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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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scholarly research, cultivating interdisciplinary dialogue, and an interest in teaching and mentoring undergraduate students. The anticipated teaching load will be one formalized course per year, AS1111
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, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data collections. 3) Investigate the spatial patterns of fish and
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, and conservation biology, collaborating with world-class researchers while working with some of the largest genomic datasets (e.g. Vertebrate Genomes Project, California Genomes Project) ever assembled
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of AI, genomics, and conservation biology, collaborating with world-class researchers while working with some of the largest genomic datasets (e.g. Vertebrate Genomes Project, California Genomes Project
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, cultivating interdisciplinary dialogue, and an interest in teaching and mentoring undergraduate students. The anticipated teaching load will be one formalized course per year, AS1111 Milstein First-Year
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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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. A major focus of our work is studying how undergraduate STEM courses can be tailored to meet the needs of all learners. Current projects involve studying STEM instructor perceptions of student