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quantitative and qualitative social science research and perform data analysis. 15% Publication and Presentation. Lead and/or contribute to peer-reviewed publications and conference and public presentations
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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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collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
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team works on projects that examine and transform the interconnections, structures, and transition points that are critical to creating effective learning and work systems within engineering. The
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collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
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on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor Bezner Kerr
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of African Studies and Cornell more broadly by working on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage
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working on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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sciences, computer science, machine learning, and education research. Research Themes The research themes identified for the NTO postdoc include, but are not limited to, the following: Developing