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environmental public health assessments (details at https://www.atsdr.cdc.gov/pha-guidance/index.html). In collaboration with a multidisciplinary team of toxicologists, environmental health scientists, and
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insights gained throughout the appointment, you will learn to apply evidence-based methods to develop a research-prioritization matrix and collaborate on a draft a five-year research agenda for the ATSDR
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partnerships. MMA engages with stakeholders in a fair and transparent manner to foster trust and collaboration and to ensure that offshore development benefits all Americans. MMA upholds its federal trust
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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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participate in collaborative research focused on understanding how postharvest treatments and pathogen infections influence the chemical composition, sensory characteristics, and overall quality of fresh fruits
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experience in the activities within the Disaster Epidemiology Community of Practice (DECoP) Learn how CDC facilitates information sharing and collaboration among disaster epidemiology practitioners through
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exposure to collaborative learning approaches through engagement with CDC programs, federal agencies, state public health organizations, and rural public health evaluation communities of practice. Learning
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datasets associated with heat and other extreme weather events. Observe and collaborate on the evaluation and enhancement of extreme weather and health data visualization tools, including the HeatRisk Tool
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Assessment process used to evaluate potential human health risks associated with environmental exposures. You will also gain exposure to EPA’s Superfund activities and experience collaborating with federal
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, and interpretation of results. Sample management — Experience managing, organizing, and archiving biological samples. Independent and collaborative research — Ability to conduct research independently