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reports/visualizations and presentations, and collaborating with multidisciplinary teams. Learning Objectives: You will train with CDC’s Center for Forecasting and Outbreak Analytics, gaining hands
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will be a part of data collection, analysis, modeling and simulation for this project. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn about drug development
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of dosing strategies — in ways that complement or improve upon conventional development paradigms. Learning Objectives: As a participant, you will have structured learning opportunities in regulatory science
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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texture measurements on vegetable tissue. You will participate in data collection and analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning
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quality and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how physical and chemical fiber parameters relate to dye uptake behavior, dyebath exhaustion, color
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, Training, and Expertise Branch to engage in and learn from a project supporting training programs for new and experienced DRSC inspectors and auditors within FSAP, IPP, and NAC. Learning Objectives: During
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potential. Learning Objectives: Through participation in this research project, you will: Develop expertise in advanced characterization of complex pharmaceutical materials by applying complementary
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expensive and dangerous health threats, and responds when these arise. Research Project: This project will be across teams in the branch to provide an opportunity to learn about the needs of priority
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such as VOC vapor intrusion or groundwater and drinking water concerns in southern California or in Guam. Through this project, you will have the opportunity to learn ATSDR’s approach to conducting