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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
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. Understanding of PC and MAC platforms; server technology. Preferred Qualifications: Bachelor’s degree preferred in marketing, communications, advertising, journalism or a related field. Certification in digital
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Position Information Posting Number: 20255628V Position Title: Facilities Attendants & Aides- Connelly Center Posting Type Student Hours/week: As needed, up to...
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colleges or corporations to organize and attend visits and information sessions. In close collaboration with Technology and Operations staff, liaise with faculty, program directors, the Registrar, Financial
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. Requirements: Proficient with computers, Microsoft office, Qualtrics, and ability to identify and email potential PICU clinical leaders for recruitment. Additional Information: Physical Demands Summary: Access
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Information Below Number of positions: 10 Department: 219-Economics Contact Name: Cathy Costello Contact Phone/Extension: 610-639-1832 Position Summary Information Job Description Summary: Responsible
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Non Tenure-Track Faculty in Mechanics and Materials in the Department of Mechanical Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work
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duties and assist with projects as assigned. Minimum Qualifications: Formal Education Bachelor’s degree in Computer Science, Software Engineering, or a related field; equivalent experience and/or industry
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duties and responsibilities including, but not limited to, supervisory day-to-day operations of the sports medicine facilities, the implementation of the Athletics Department drug testing program, hiring
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Science, are invited to apply. Join a dynamic group of 12 statisticians with varied research interests! Our statistics program features a well-established MS in Applied Statistics and Data Science, an