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, or extreme weather impacts on health. Experience with quantitative datasets and applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with
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, or modeling using tools such as Python, R, GIS, or similar computational platforms. Demonstrated ability to collaborate across disciplines and translate technical and social science insights into scholarly
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, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS preferred
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analyses Meeting facilitation and stakeholder engagement experience Experience with statistical analysis, GIS, Python, R, SQL, PostgreSQL, or web application development Experience managing research budgets
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collaborators. These deployments provide a rare opportunity to construct digital twins grounded in operational infrastructure, live data, and scalable computation. This position is not focused on conventional GIS
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, the incumbent will utilize industry-standard frameworks to gather project requirements, write and test software, and generate technical documents. This primary software application includes GIS-based
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, perinatal, neonatal and child outcomes related to poverty-related infectious diseases. Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data. Develop reproducible R-based analysis
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Familiarity with statistical analysis, GIS, Python, R, SQL, PostgreSQL, or related analytical tools Experience supporting research or technical projects Experience with stakeholder engagement or public-sector
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
evaluation. Demonstrated proficiency in programming (Python required). Ability to work independently while contributing to collaborative, interdisciplinary research efforts. Knowledge, Skills & Abilities
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in