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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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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why
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opportunity to: Gain experience conducting analyses of national surveillance datasets (e.g., NHANES, NHIS, BRFSS) and healthcare databases (e.g., Medicare and Medicaid) to examine clinical, behavioral, social
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to classify rangeland plant species, and (2) using transfer learning to adapt deep learning models for imagery analysis to varying UAV sensors and conditions. These techniques will allow you to identify and
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. This creates large uncertainties when modelling orchard water and nutrient fluxes as well as deep percolation below the root zone, critical topics in semi-arid, agriculturally productive regions such as
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publication list Two educational or professional recommendations. At least one recommendation must be submitted in order for the mentor to view your application. A copy of an abstract or reprint of an article
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of science-based data collection activities (qualitative and quantitative) and data analysis. Strong science communication skills, both written and oral. Experience in logic modeling, strategic planning
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publication list Two educational or professional recommendations. At least one recommendation must be submitted in order for the mentor to view your application. A copy of an abstract or reprint of an article
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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., Medicare and Medicaid) to examine clinical, behavioral, social, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and