111 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Villanova University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
- 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
-
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
-
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
-
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
-
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
-
workshops and events, and help foster a dynamic and inclusive maker community. If you’re passionate about engineering, hands-on learning, and making a difference, this is the perfect role for you
-
with the ability to follow multi-step instructions. Must be able to work well independently. Basic office skills and computer skills including MS Word & Excel. Ability to navigate Blackboard learning
-
Detailed Work Schedule Number of positions: 5 per Semester Department: 204-Electrical and Computer Engineering Contact Name: Helen Cook Contact Phone/Extension: 610-519-4970 Position Summary Information Job
-
project Requirements: · Experience using computer systems · Programming and coding an asset · Experience working with H5P, YouTube, MS Office, Adobe Acrobat and asset · 2-4 hours per week for a total of 20
-
desk support for all UTS-supported systems. Assist students, faculty, and staff with issues related to Villanova technology and systems. Diagnose and resolve computer-related problems. Record support