106 engineering-computation "https:" "https:" "https:" "U.S" positions at The California State University
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to the courses that are appropriate for the department program and curriculum in any given semester. Due to staff and curriculum changes, courses offered may vary, and no guarantee of employment from semester
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faculty lecturers may need to be available on very short notice. Minimum Qualifications: Master's degree in information systems or a closely related computing field or an MBA with a concentration in
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of CSUCI. Minimum Degree Requirements: Master’s degree in Business Analytics, Data Science, Statistics, Applied Mathematics, Computer Science, Information Systems, Engineering, or a closely related
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) Classification Title: Student Assistant Department Name: Educational Opportunity Program Time Base: Part-Time Hours to be Worked: Up to 20 hours per week Supervisor's Name: Jalen Chavez Pay Plan: Hourly Bargaining
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entities. ESSENTIAL DUTIES AND RESPONSIBILITIES include, but are not limited to, the following : PROGRAM DEVELOPMENT Implements policy for utility distribution equipment and systems, utility availability
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Office Assistant (ASA II), Career Services - College of Engineering & Computer Science Apply now Job no: 549334 Work type: Staff Location: Sacramento Categories: Unit 7 - CSUEU - Clerical and
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26-27 AY Teaching Associate (TA) - Computer Science Apply now Job no: 556231 Work type: Teaching Associate Location: Fresno Categories: Unit 11 - UAW - California Alliance of Academic Student
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software, and computer and Internet-based language teaching technology. Application Procedures: The review of applications will begin in Spring 2026 for a Fall 2026 start date. *For full consideration
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demonstrates the achievement of journey-level skills equivalent to that acquired through completion of an applicable apprenticeship program. Requires possession of a valid California Driver's License
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: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Data Science. Hands-on & progressively responsible experience in data architecture, data engineering , and analytics. Skilled