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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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, 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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[map ] Subject Areas: Information Science / Artificial Intelligence (AI) , education , Data science Appl Deadline: 2026/02/02 04:59 AM UnitedKingdomTime (posted 2025/12/19 05:00 AM UnitedKingdomTime
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. Requirements: Ph.D. in Engineering Education, STEM Education, Engineering, or a related field. Demonstrated expertise in quantitative and qualitative research methods. Experience with human subjects data
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. The research team collaborates closely with an industry-leading engineering team at FreshCognate, which supports tooling for data processing, annotation, and analysis. The research team works closely with NTO
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members and be responsible for contributing to: Manuscripts, reports, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population
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econometric research design and data analysis, with a focus on causal inference and agricultural technology adoption. · Ability to travel internationally · Willingness to work with a multi-disciplinary team of
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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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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molecular biology techniques such as DNA extraction, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software. Familiarity with bioinformatic