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relevant to conservation and management of the nation’s natural resources. Research projects are related to modeling spatial and temporally misaligned datasets in order to understand impacts of White-nose
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will learn how to leverage Large Language Models (LLMs) to address real-world environmental health challenges. You will be immersed in a collaborative multi-disciplinary team environment, participating
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-on experience in infectious disease modeling and vaccinology in an applied government setting while learning and practicing Bayesian methods for nowcasting, forecasting, and Rt estimation. You will also develop
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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The United States Army Research Institute of Environmental Medicine (USARIEM) is offering a post-bachelor's-level fellowship in biomedical/mathematical modeling of humans exposed to extreme and austere environments
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modeling framework that integrates facility characteristics, cooling technologies, and environmental conditions to explore water-use estimates under multiple growth and climate scenarios, while strengthening
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, implementation of management treatments, and the use of coding and process-based models to analyze natural resource dynamics. Learning Objectives: Under the guidance of a mentor, you will build experience in plant
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The Environmentally Integrated Dairy Management Research Unit (EIDMRU) within the U.S
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information technology (IT) security to model the dynamic physical consequences of cyber-attacks on the nation’s most critical infrastructure—including power grids, water systems, natural gas pipelines, and other
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, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and machine learning methods, including cluster analysis and