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opportunity combines molecular laboratory methods with collaborative field surveillance to advance the understanding of honey bee disease epidemiology and inform strategies for colony protection in Illinois
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methods for evaluating AI tools for public health applications; participate in the development and testing of AI-enabled analytical approaches, prototypes; examine how AI can help integrate and interpret
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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
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practices and services. Apply public health assessment methods. Gain experience interpreting environmental exposure data. Develop scientific writing and communication skills. Learn federal public health
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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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, clinical cohort analysis, and patient-reported outcome methods to improve understanding of ME/CFS and related infection-associated chronic conditions and illnesses (IACCIs). Research Project: A research
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the network. You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing
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systems. Activities may include collecting and analyzing experimental data; utilizing advanced optical diagnostic methods, high-speed imaging systems, and engineering instrumentation to characterize
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Objectives: Build competency in designing and planning science studies, including performance measurement and mixed-methods data collection. Strengthen skills in applying quantitative and qualitative analysis
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, gaining exposure to public health research, evaluation, and scientific operations that support agency priorities. The participant will strengthen skills in epidemiologic methods, scientific literature