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Bio and Agro-Defense Facility (NBAF), the Arthropod-Borne Disease Research Unit (ABADRU), and the Geospatial and Environmental Epidemiology Research Unit (GEERU) to model the risk of highly pathogenic
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computing, software development, geospatial or time series modeling, and mathematical modeling, or other areas of interest. This opportunity represents a unique window into the food safety regulatory
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. Research Project: Joining a team of landscape and fire ecologists to learn about and support geospatial analysis of fire mitigation implementation in the highly fire prone lands of Kona and Kohala on Hawaii
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information from a wide variety of sources to conduct epidemiological, ecological, economic, geospatial, and environmental analyses and other assessments of present, future, and emerging threats to animal
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with deep learning models such as autoencoders and neural networks. Experience with ecological, geospatial, or movement data (e.g., GPS telemetry). Strong oral and written communication skills, including
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phenotyping using both drone-based and ground based sensing platforms. Learn artificial intelligence and machine learning techniques to analyze image and geospatial data from diverse sources for crop monitoring
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analysis of large, diverse datasets including field experimental data, geospatial data, and time series data. Experience with machine learning and statistical learning. Familiarity with various management
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imagery collected via UAV, integrating cutting-edge technology into agricultural research. Utilize geospatial and statistical tools to conduct analyses that quantify the relationship between ET, canopy