127 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Villanova University
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Technician I - Learning Space Support Posting Type Student Hours/week: 5 - 10 Eligibility: Work study preferred but open to all students Semester 2025-2026 Academic Year Location Detailed Work Schedule
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- Learning Technologies Posting Type Student Hours/week: 20 Eligibility: Work study preferred but open to all students Semester 2026 Spring Location Aldwyn 1 Detailed Work Schedule Specific Days and Hours TBD
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Assistant-Learning Support Services Posting Type Graduate Assistant Hours/week: 15-20 Eligibility: Graduate Assistant Semester 2025-2026 Academic Year Location Falvey Memorial Library Detailed Work Schedule
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Responsibilities: The successful candidate will be expected to teach undergraduate and graduate courses at all levels of the computer engineering curriculum, develop new courses that align with their area of
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starting in August 2024. Candidates are sought who can contribute to and lead the growth of the Computer Engineering program and teach courses in the broad areas of computer engineering and cybersecurity
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(medication dispensing machines, electronic health record, etc.); troubleshoots equipment for problem resolution; participates in inventorying and replenishing supplies; seeks resources for simulation
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seeking motivated graduate level students to serve as teaching assistants for the Machine Learning for Engineers course (ME 8311) in the Spring 2026 semester. Students who desire to gain teaching experience
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a 2025/2026 internship for ECE major undergraduates to work with ECE Faculty on topics related to Signal Processing, Microwave, Hardware, Machine Learning, Antennas, and Sensing. Plesae contact
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within the Information Security team which offers a valuable opportunity for hands-on learning and skill development in the realm of information security. Technical Support & Maintenance: · Assist members
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and time constraints. Be proficient in all standard computer applications, including Microsoft office products, especially Outlook, Teams, Excel, and Word. Quickly learn and adapt to new technologies