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multidisciplinary team, contributing to design, data collection, policy analysis, prototyping, and dissemination. Candidates with expertise in any area—policy, AR/VR tools, community engagement, or programming
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such as Cornell’s Transportation Environment Analysis Model for Cities (Cornell TEAM-Cities), the emerging urban transportation, environment, and community health modeling Hub (uTECH Hub), and the
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producers. Anticipated Division of Time Research 50% Data analysis 40% Writing 10% Requirements Ph.D. in Animal Science, Dairy Nutrition, Feed Science, or a related field. Strong background in ruminant
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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analysis of effective tutoring moves that promote student motivation, engagement, and learning Development and evaluation of approaches to AI tutoring agents that build on high-quality data (e.g., training
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, NY, invites applications for a Postdoctoral Associate in Health Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support
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in qualitative and quantitative research methods and data analysis tools, such as R, SPSS, Stata, MAXQDA, and Nvivo. Aid in the analysis of data to derive insights into best practices for practitioners
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livable cities. The ideal candidate would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data
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and pangenome scale analysis of fungal pathogens of agricultural crops. Anticipated Division of Time Lab and Computational Research: 40% Field and Greenhouse Research: 20% Writing, Data Analysis, and