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internationally. Under the guidance of experienced CDC scientists, you will receive training in: Advanced statistical and computational methods for public health surveillance. Integration and harmonization
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) and HPV to reduce disease burden through population-based epidemiology, laboratory research, and public health education. CVDB's ME/CFS epidemiology program applies population-based surveillance
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machine learning methods, including cluster analysis and predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications
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., Medicare and Medicaid) to examine clinical and environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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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
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organizational and program objectives. Learn qualitative research methods through conducting in-depth interviews with internal stakeholders and staff. Build analytical skills by performing gap analyses and
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, implementation and evaluation science, program evaluation, mixed methods research and evaluation, applied prevention research, systematic literature reviews, data analysis, data interpretation and visualization
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learning methods for process automation within SharePoint and Microsoft enterprise platforms. Under the guidance of a mentor, the participant will explore research approaches related to large language model
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for the SRM. Learn methods for evaluating and improving performance metrics associated with the SRM tool. Build program evaluation skills by helping design and implement processes to assess the return