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involve conducting large-scale data synthesis projects to better understand the drivers of urban metacommunities and biodiversity patterns. In particular, the lab is interested in understanding the drivers
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involve conducting large-scale data synthesis projects to better understand the drivers of urban metacommunities and biodiversity patterns. In particular, the lab is interested in understanding the drivers
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growers and also include monitoring Drosophila, categorizing grape cluster architecture and damage, monitoring weather variation between sites, and estimating economic costs and benefits. Research
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create engaging, science-based training materials in both English and Spanish
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cultures, molecular and genetic analysis, and protein analysis techniques. Additionally, we are looking for candidates who demonstrate proficiency in data collection, rigorous data analysis, and effective
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project sites. The research will help gauge views and perceptions of hosting landowners, agricultural and rural community members, developers, and policymakers through qualitative and quantitative data
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project sites. The research will help gauge views and perceptions of hosting landowners, agricultural and rural community members, developers, and policymakers through qualitative and quantitative data
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at NIH rates. Anticipated Division of Time 65% of the employee’s time will be spent doing bench laboratory experiments. 15% of the employee's time will be spent analyzing and preparing data
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analyzing and preparing data for presentation 10% of the employee's time will involve the mentoring of undergraduate or graduate students 10% of the employee's time will involve professional development