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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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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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, 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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research in several areas. These include, but are not limited to: Exploring methods to package and structure network data for seamless sharing across diverse applications and services Utilizing established
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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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models with Artificial Intelligence (AI) methods to enhance model interpretability, accuracy, and predictive power. You will also have opportunities to contribute to multidisciplinary, multi-institution
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the guidance of a mentor, you will have the opportunity to learn to: (a) apply methods in software engineering in support of online computational tools such as data curation, preparation, and validation. Mentor
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biology applications. Why should I apply? Through this research opportunity, you will learn how computational methods, hardware, and software are integrated to solve real-world biosurveillance challenges
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synthetic biology applications. Why should I apply? Through this research opportunity, you will learn how computational methods, hardware, and software are integrated to solve real-world biosurveillance
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science methods for improving public engagement, the National Environmental Policy Act (NEPA) and associated environmental analyses, offshore energy policy, approaches to bringing innovation into government