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to complement your education and support your academic and professional goals. Along the way, you will engage in learning activities and research in several areas. These include, but are not limited to: Assess
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public health preparedness, laboratory biosafety and biosecurity, regulatory oversight, and risk reduction. Under the guidance of a mentor, you will learn from DRSC's Policy and Communications Team engaged
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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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understand the burden of diabetes and inform public health strategies to improve prevention, treatment, and health outcomes. Learning Objectives: Through this training opportunity, you will have the
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validating the gene functions with transformation and molecular experiments. Lastly, you will assist in analyzing the gene-edited plants to improve grain quality in barley and oat. Learning Objectives: You
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exposures, environmental hazards, and disasters. Learning Objectives: Under the guidance of a mentor and collaborative team of epidemiologists and medical toxicologists, you will be involved in the following
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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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for comprehensive pathology evaluation to support outbreak and epidemiological investigations. Learning Objectives: You will: Gain experience in molecular testing methods, including PCR-based detection and pathogen
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learn best practices in instructional design and health communication, including web communication, application of CDC’s quality training standards, user experience, digital content design, and plain
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primary learning experiences. You will examine the susceptibility of table grape breeding lines to gray mold caused by Botrytis cinerea, including developing and conducting scalable, high-throughput