284 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" uni jobs at Villanova University in United States
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Position Summary: The College of Engineering seeks qualified individuals for its adjunct faculty pool to teach classes in support of the Engineering Entrepreneurship program. The courses in the minor focus
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candidate will teach undergraduate and graduate courses in mechanical engineering, with a focus on thermal and fluid sciences. The appointment begins in August 2025. Villanova is a Catholic university
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who understand, respect and can contribute to the University’s mission and values. Duties and Responsibilities: The successful candidate will be expected to teach undergraduate fluid mechanics and
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-Field-Expert Lecture Series. All applicants must apply online at https://jobs.villanova.edu and complete a faculty profile. Online applications must include: 1. A current and complete resume/curriculum
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, candidate must be available to teach drill sections of Beginner and Intermediate Japanese on Monday 8:30am to 1:40pm. The schedule may be restructured in subsequent semesters. Physical Requirements and/or
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-2025 academic year. The successful candidate will teach undergraduate courses in Mechanical Engineering. The appointment begins in August 2024. Villanova is a Catholic university sponsored by
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contributions, and publication in the peer-reviewed literature, our new colleague will teach undergraduate courses in his/her area of expertise, as well as other departmental courses, in a way that fosters
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Professor - Electrical and Computer Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: part-time/9-months Department: 204-Electrical and
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of Chemistry at Villanova University invites applications for an adjunct instructor to teach lecture and/or laboratory courses as needed. Villanova is a Catholic university sponsored by the Augustinian Order
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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