5 machine-learning "https:" "https:" "https:" positions at University of California Riverside
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collaborative problem-solvers specializing in data science, statistical, and/or machine learning methods and tools, and have worked with various forms of data, including text. They should also enjoy conducting
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and apply advanced analytical frameworks--including geospatial statistics, machine learning tools, air quality modeling, and source apportionment techniques--to interpret air pollution observations and
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georeferenced data on pest outbreaks. The Scholar will use these data in collaboration with computer scientists to develop machine learning algorithms for the detection and management of biotic stress. The crops
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Experience in developing and deploying chatbot applications. Knowledge of data privacy and security principles related to AI and machine learning Preferred Qualifications Familiarity with containerization and
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work in collaboration with the SOE Assoc. Deans for Undergrad and Grad Education, the Undergrad and Grad Academic Advisors, and Community Engaged Learning Coordinator to establish and maintain a Center