10 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of California Riverside
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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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physical environments. This position focuses on research at the intersection of computer graphics, generative AI, and robotics, encompassing topics such as generative modeling, reinforcement learning, multi
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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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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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the aid of deep learning, machine, or other artificial learning technologies. Opportunities exist for collaborations with faculty in our department with a focus on plant pathogens and our faculty studying
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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
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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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sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic
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managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data
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%) Organization: School of Business Department: Yunzeng Wang Application Deadline: Open Until Filled Position Information: Entry-level professional with limited prior experience; learns to use professional concepts