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America. Preferred qualifications: Experience in spatial epidemiology and mechanistic/statistical modeling of vector-borne diseases. Familiarity with advanced statistical modeling, mathematical modeling
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc
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of Epidemiology at Columbia University is seeking a postdoctoral researcher to work on an NIH-funded project examining the relationship between urban environmental exposures and adolescent mental health outcomes
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, such as spatial modeling and analysis, transport and port environments, health and risks, Information and Communication Technologies (ICT), and socio-territorial restructuring. Its identity is associated
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
Posting Information Posting Details Department Epidemiology - 463501 Posting Open Date 08/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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team engaged in translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence
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as necessary. Analyze data to assess prevalence of lead exposure sources, associations with key outcomes, and spatial trends. Support or lead mixed-methods analysis combining survey data with
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, United States of America [map ] Subject Areas: Biostatistics Epidemiology Environmental Health Appl Deadline: (posted 2025/07/23, listed until 2026/01/23) Position Description: Apply Position Description Duke University
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develop and implement mosquito behavior assays in malaria-endemic settings to investigate how vector control interventions, such as spatial repellents, influence mosquito behavior. You will study host
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translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence, experimental studies (in vitro and