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on leveraging data from permanent forest plot datasets in the Caribbean to build a comprehensive view of tropical tree species in support of conservation and broader management actions. Learning Objectives
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while gaining invaluable skills in AI, machine learning, and public health. This project offers a unique opportunity to bridge the gap between cutting-edge technology and real-world impact, shaping
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machine learning, coupled fire behavior/fire atmosphere modeling, air quality modeling, and system evaluation. Depending on their skills and interests, they can participate in various aspects of the project
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in several areas. These include, but are not limited to, Using MPS to identify new potential targets for future medical countermeasure development Learning development and characterization
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for disease transmission. Research activities will include: Collaborate with subject matter experts to learn about the development of analytical tools for assessing Highly Pathogenic Avian Influenza (HPAI
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of the project is to provide a timely update and modifications of this model, as new science and methods have evolved since its development. Learning Objectives: The selected fellow in this project will have the
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
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. Along the way, you will engage in activities and research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems
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results, and collaborations. The Fellow will also have opportunity to engage with project collaborators to develop and enhance their network of subject matter experts. Outreach may include travel. Learning