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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why
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Division of Diabetes Translation's Surveillance, Epidemiology, Economics and Statistics Branch (SEESB). Under the guidance of experienced CDC scientists, you will participate in epidemiologic and statistical
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Division of Diabetes Translation's Chronic Kidney Disease (CKD) Initiative. Under the guidance of experienced CDC scientists, you will participate in epidemiologic and statistical research examining trends
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disease (CWD), other wildlife diseases, and feral swine impacts. You will engage with ecological and wildlife management datasets and learn how quantitative and statistical tools are applied to address real
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and emulate trial/observational designs, developing and validating reproducible statistical and forecasting code, comparing performance metrics (bias, variance, calibration, forecast skill), producing
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Biorepository. Activities may include evaluating data quality and completeness, integrating information from multiple data sources, conducting statistical analyses, and interpreting findings to inform scientific
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to make models realistic, and analyzing output from simulation runs using established statistical techniques. Opportunity exists for novel approaches, and you will be encouraged and supported to publish
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
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–making it safer, more efficient, competitive, accessible and sustainable. The Fellow will be placed within one of the following OST-R offices: • Bureau of Transportation Statistics • Highly Automated
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Sciences (4 ) Life Health and Medical Sciences (11 ) Mathematics and Statistics (3 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from