237 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Florida
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Gainesville and the surrounding areas, please visit the Guide to Greater Gainesville that shares information about our neighborhoods, schools, and zoning, culture and leisure, and more at https
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HR records. Support onboarding processes by preparing new hire packets and scheduling orientations. Help maintain HR databases and spreadsheets with accurate and up-to-date information. Respond to
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systems Proficiency in data analysis software and statistical methods Excellent written and verbal communication skills Ability to work independently while contributing to team goals Commitment to various
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architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision making. As a
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(PSLF) eligible employer. For more information on benefits, please visit UF HR Benefits and Rewards at https://benefits.hr.ufl.edu/ . Required Qualifications: PhD in neuroscience, psychology
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managed. More information about UFTI is available here https://www.transportation.institute.ufl.edu/ Responsibilities for the successful candidate include. leading the UFTI, building an internationally
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minimize the use of non-consensual interventions, employing them only after procedural due process and when all other available resources have been exhausted. For more information, please visit the CWC
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for a position or to request further information, applicants should contact the Non-Tenure Track Appointments Committee’s chair Jane O’Connell at janeoconnell@law.ufl.edu. Materials should also be
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Departments of Physics and Mathematics (among others) within the College of Liberal Arts and Sciences. The candidate would also have access to extraordinary data management and analysis resources, including
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curriculum. UF faculty members annually generate more than $1 billion in research expenditures, with a comprehensive long-term AI initiative (https://ai.ufl.edu/about/ ) and access to state-of-the-art