313 computer-security-"https:"-"https:"-"https:"-"LGEF" positions at Villanova University
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Faculty - Computing Sciences Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: temporary Department: 188-Computing Sciences Position Summary
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the creation and organization of information resources to support collections. Tasks may include: production of digital content for the Digital Library using computer, scanner, digital camera, and specialized
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instruction on the proper operation of cardiovascular and weight training equipment. Notify appropriate staff members of custodial issues, maintenance needs, and safety concerns. Assist with facility set-up and
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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
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hardware familiarity (PC’s, printers, peripherals). Knowledge of computer related networking, secure file transfer/sharing protocols. Knowledge of database query language (SQL). Knowledge of UNIX based
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) training before or upon hire. Completion of Responsible Conduct of Research (RCR) training, as applicable to the role. Proficiency in computer literacy, including the ability to use standard office software
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support to provide support for all UNIT-supported systems. *Consult with students, faculty, and staff regarding issues with Villanova technology and systems. *Assist with computer problems and provide
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to prepare and stain sections; (2) optimize image analysis pipelines; (3) organize, document, and present data clearly for group meetings and reports; (4) maintain laboratory records, follow safety protocols
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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 requests using
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graduate program in applied statistics. Proficiency with at least one statistical program (e.g., R, Stata). Experience with data preparation and analysis. Attention to detail. Ability to work collaboratively