232 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at Villanova University
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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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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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- 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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application as the required “other document” in order to be considered. https://www1.villanova.edu/content/dam/villanova/recreation/IM%20new%20employee%20Application%20-%20Fall%20-%20updated.pdf Physical
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real-world challenges. The club will run January 2026 – June 2026, meeting two to three afternoons per week after school in Lansdale, PA. AI/Machine Learning Mentors will help design and lead engaging
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, beginning August 2026. The successful candidate will teach introductory and intermediate Spanish language courses and contribute to the ongoing development and vitality of the department’s undergraduate
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can be found at https://www1.villanova.edu/content/university/engineering/academic-programs/departments/mechanical.html . Villanova University is ranked #53 among the nation’s best colleges and
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Qualifications: Previous teaching experience preferred. Physical Requirements and/or Unusual Work Hours: Special Message to Applicants: Applicants must apply online at https://jobs.villanova.edu/ . In
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equal opportunity employer and seeks candidates who understand, respect and can contribute to the University’s mission and values. Duties and Responsibilities: Our new colleague will teach undergraduate
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candidate will teach core and elective courses in biomedical engineering, with a focus on one or more of the following areas: experimental analysis and design, product design, data science, machine learning