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and/or other related field, and (2) a minimum of 3 years of research experience specifically focused in an area related to natural language processing, machine learning, large language models, multi
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or possess equivalent qualifications based on professional experience. A book or substantial record of literary works is required. Job Description: The Department of English at The University of Florida
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nearby parks and recreational areas afford year-round outdoor activities, including hiking, biking, and nature photography. UF’s large college sports programs, museums, and performing arts center support
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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of the system and the business processes we support. Once up to speed, the position will serve as lead developer conducting code review with other team members and helping to set development priorities and best
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acceptance and rejection letters to applicants. Processes non-degree student applications. Processes applicant petitions, including application fee waiver requests and exceptions to English proficiency
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Teaching position: Is a 9-month, full-time, non-tenure accruing faculty position with a Spring 2026 start preferred Is renewable annually based on satisfactory performance evaluations, funding, and fit with
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. The Applications, Development and Integrations Team is focused on building and enhancing enterprise solutions to support critical business processes for the University of Florida. We are looking for skilled team
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innovative and inspirational community. The Applications, Development and Integrations Team is focused on building and enhancing enterprise solutions to support critical business processes for the University
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of this position are: Manage and improve services under the NaviGator AI suite. Work with constituents who want to leverage AI capabilities in their current processes and provide consulting services to campus