135 data-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at California State University, Long Beach
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University policies, programs and procedures. For more information, the systemwide policy can be found at https://calstate.policystat.com/policy/18172024/latest/ and questions may be sent
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career while enjoying everything Southern California has to offer. Job Summary Under the general direction of the University Open Computer Lab Coordinator and working in a team environment, the University
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expected to comply with applicable Environmental Health and Safety regulations and University policies, programs and procedures. For more information, the systemwide policy can be found at https
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- Engineering Position: Assistant Professor of Computer Engineering Effective Date: August 17, 2026 (Fall Semester) Salary Range: The Assistant Professor (Academic Year) classification salary is $74,652
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updates to include contact report review, prospect record updates, and proposal tracking. The incumbent also is responsible for researching, analyzing data, collecting, and compiling background materials
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laboratory science, including its theories, principles, and practices, as well as proficiency with automated computer systems used in laboratory settings. This includes expertise in the operation and
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correct paychecks are generated by designated pay dates, including for campuses participating in the Cross‑Campus Payroll Collaboration Project. Key Responsibilities Personnel/Payroll Information Management
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be performed for any CSU campus participating in the Cross‑Campus Collaboration Project. Key Responsibilities Personnel/Payroll Information Management System (PIMS) Processing. Under the general
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Program (EOP), Beach Pathways, and related student support initiatives. Coordinate Beach Pathways Mentoring Program: Collect and analyze data on mentoring participation, student satisfaction, and
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and Director of Graduate Studies with emails and files related to graduate student awards. Support Director of Graduate Studies with analysis of departmental and college-level data (e.g., # of students