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species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas
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experience in statistical modeling, who is also interested in or has experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will
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experience with species distribution modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify
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and a strong interest in coupling these data to oceanographic/environmental variables to better understand fjord and subglacial processes, as well as ongoing climate shifts and its implications
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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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research at Cornell. Behind every breakthrough is a dedicated community of scientists, support staff, and students asking bold questions, undertaking cutting-edge research, and transferring ideas and
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, developers, and policymakers through qualitative and quantitative data collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate
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). The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial
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14853, United States of America [map ] Subject Areas: Nutrition Public Health Data Science Medicine Epidemiology (more...) Bioinformatics / Clinical , Computer Science , Mathematics , statistics Salary