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wildlife. Use molecular techniques, including CRISPR-based methods and cloning, for vaccine and diagnostic development. Describe microbiological, pathological, and immunological approaches used to study
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Agrilus beetle species. Develop skills in entering, curating, organizing, and managing experimental data generated from EAB and parasitoid studies. Mentor(s): The mentor for this opportunity is Jian Duan
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policy support. This project will provide training to address surveillance and research issues related to nutrition, physical activity, and obesity in a public health setting. You will train with others
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, you will have the opportunity to: Gain experience using population genomics to study movement patterns and invasion pathways of stored-product insect pests across U.S. agroecosystems. Develop skills in
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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scientific and technical writing skills Experience with analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross-sectional and longitudinal studies Stipend $6,581.00
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reporting, and develop practical tools and infrastructure for laboratory scientists. You will collaborate with bioinformaticians, laboratorians, epidemiologists, data scientists, and other public health
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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developing public health assessment reports evaluating community exposure pathways to chemical hazards. You will help in developing public health assessments that evaluate community exposure pathways
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approaches used to support reliable pathogen detection. This project aligns with IDPB’s public health mission to develop, improve, evaluate, and apply laboratory technology to detect microbial agents