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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying
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economics, data science or closely related field, with strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic
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reviewers who may be in aligned fields but not necessarily experts in your specific discipline. Applicant Information and Statements The following items must be uploaded into the application portal as a
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, computer science, or a closely related field by the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas
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informant interviews with a small sample of community leaders representing underserved groups, rural communities, and agricultural areas. The RA will be responsible for designing the study, conducting data
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural
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and contact information for two references Unofficial graduate transcript (Optional) Research statement outlining past work and future directions relevant to the project Additional Information: Review
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conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status
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their approach to fostering learning, research, service, and outreach in a diverse community. Applicants may choose to submit a stand-alone statement or embed the information in other parts of their application
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- to ensure that data is comparable and integrated across organisms. How to Apply Please send your complete application to Dr. Adrienne Roeder at ahr75@cornell.edu . The application should include: A cover