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frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key responsibility is to test key assumptions about differential disease risk by
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
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: 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 candidates
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-epidemiological methods on human study populations to identify molecular mechanisms that can serve as future targets for early detection, prevention, and treatment. Our lab is at the forefront of Alzheimer’s
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investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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of Laboratory Medicine to promote human health in short and long term. The department collaborates closely with Karolinska Hospital and engages in advanced basic, clinical, and epidemiological research. It is
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Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials to mueller7@stanford.edu . Please write "Project Unleaded Data Postdoc
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short and long term. The department collaborates closely with Karolinska Hospital and engages in advanced basic, clinical, and epidemiological research. It is also one of the largest teaching departments
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, particularly single-cell RNA sequencing, spatial transcriptomics, and related approaches. Our research group uses single-cell genomics to study immunity at mucosal sites, with a focus on the lungs and