184 data-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Ferris State University
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implementing institutional strategies for preventing legal problems. Provide legal training for University administration through systems, programs, etc. Collect and tabulate data from a variety of sources
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employee personnel actions into the HRIS system daily. Perform HR functions, including data collection, data entry, and reporting. Verify information is audited. Review and process employee information
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including data entry, filing, word processing, scanning, email, and photocopying. *Perform minor accounting functions as directed. *Pull copier usage reports for FLITE and University College, and prepare
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, report accreditation data, and comply with academic policies. • Provide scheduled availability at times convenient to students to support their learning. Program, Accreditation & Compliance: • Ensure
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the computer needs of university faculty, staff and students, including various hardware and software problems. • Research, recommend, and assist in quoting, upgrading, replacing any computer related equipment
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correspondence for review and approval of supervisor. Input, retrieve, download and output information utilizing a computer to access various software programs and systems. Interview and recommend for hire, train
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Leadership & Management • Provide leadership, direction, and supervision for network engineering, systems administration, and information security teams. • Foster a collaborative, customer-focused
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. Represent or assist in representing the University in hearings before Referees of the Michigan Employment Security Commission. Research, collect, analyze, and prepare information for negotiations, grievance
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employee data to verify the accuracy and integrity of the payroll system data. Manage, research, answer, or refer inquiries from faculty, staff, students, and outside stakeholders regarding payroll policies
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Teaching assignment may include the following areas: machine learning; exploratory data analysis; feature engineering; AI for Everyone; special/emerging topics; data mining and analysis; business