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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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of a validation report. Training focus 5: Development or adoption of established methods to test for Babesia, Chagas disease and malaria - You will receive training in using laboratory tests to support
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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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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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numerical representations of key hydrological processes, such as evapotranspiration and groundwater movement. Integrating remote sensing–derived agricultural management data (e.g., cover crops, conservation
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advanced molecular diagnostic methods for analysis of high-hazard viruses and interface with laboratory and epidemiological colleagues across CDC. You will: Learn biosafety level 3 and 4 laboratory methods
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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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molecular genotyping, serology, sequencing-based methods, assay evaluation, and surveillance activities that contribute to monitoring HPV infection, HPV-associated disease, and HPV vaccine impact. Research
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organizational goals. Designing and implementing a public health program evaluation using quantitative and qualitative data analysis methods. Reporting evaluation results using data visualization techniques
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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