294 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Florida
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assigned by the Communications Manager and the Director of E-Learning, Technology, and Communications. Expected Salary: $46,000 - $60,000 Required Qualifications: Bachelor’s degree and two years of relevant
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Science, Computer Engineering, or related field Job Description: Configure and manage GitHub organization, repositories, and access controls for student project teams Set up and document workflows for AI-assisted
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writing clear learning objectives and aligning their course with the UF Standards and Markers of Excellence for online courses. (When dealing with courses affected by our Assurance of Learning program
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teacher preparation and technology to work within the Teachers, Schools, and Society (TSS) program in the School of Teaching and Learning (STL) at UF. The TSS program area focuses on issues that impact 21st
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for Experiential Learning & Simulation (CELS). Key responsibilities include coordinating schedules, meetings, communications, and office logistics for directors and senior leadership; maintaining website and social
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position at the rank of Lecturer/Senior Lecturer/Master Lecturer (working title Assistant/Associate/Full Instructional Professor) in Computer and Information Science and Engineering (CISE) Department
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Experiential Learning and Career Advisor will leverage industry-related experience (non-profits, public, and private sectors) and an appreciation of the liberal arts and sciences education to provide individual
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to follow established procedures. Basic computer proficiency, including familiarity with Microsoft Office. Proficiency with basic office technology, including phones, printers, copiers, and scanners. Ability
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Classification Title: Academic Advisor I/II/III Classification Minimum Requirements: Level I: Master’s degree in education, counseling, or academic field related to the college OR Bachelor’s degree in similar fields with one year of relevant experience. Level II: Master’s degree in education,...
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research strengths are in the areas of (1) Artificial intelligence, machine learning, natural language processing; (2) Computing foundations, algorithms, modeling, bioinformatics, visualization; (3) Human