11 machine-learning "https:" "https:" "https:" "https:" uni jobs at University of California Riverside in United States
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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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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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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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confidentiality at all times. Advanced computer knowledge with the ability to understand and learn new on-line programs. Demonstrated ability to work effectively in a service environment that is subject to frequent
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flexibility. Skills to learn organization-specific and other computer application programs. Basic skills to analyze and research information and learn to synthesize large amounts of data with strong attention
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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