90 parallel-and-distributed-computing positions at California State University San Marcos
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California State University San Marcos | San Marcos, California | United States | about 12 hours ago
coordination including reception and administrative support to the ACE Scholars Services program. Responsibilities and assignments for this position include coordinating front desk reception desk, providing a
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- Computer Science Position: Instructional Faculty, Special Programs - For Credit Academic Year: 2026/2027 Day/Time: Varies College: CSTEM - College of Science, Technology, Engineering, and Mathematics Department
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- Computer Science Electrical & Computer Engineering Pool Position: Lecturer Academic Year: 2026/2027 College: College of Science, Technology, Engineering, and Mathematics Department: Electrical & Computer Engineering
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- Computer Science Position: Lecturer - Academic Year Semester: Fall 2026 Day/Time: Tuesdays and Thursdays, from 9:00 a.m. to 10:15 a.m. Modality: In-Person College: College of Science, Technology, Engineering and
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- Computer Science Position: Lecturer Semester: Fall 2026 Day/Time: Schedule TBD Modality: In-Person College: College of Science, Technology, Engineering and Mathematics Department: Computer Science, BS CIS Chula
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, Part Time CS 310: Social Issues and Professional Practices in Computing Position: Lecturer - Academic Year Semester: Fall 2026 Day/Time: Tuesdays and Thursdays, from 2:30 p.m. to 3:45 p.m. Modality: In
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- Computer Science Computer Science & Engineering Pool Position: Lecturer Academic Year: 2026/27 Day/Time: Varies Modality: In-person College: College of Science, Technology, Engineering, and Mathematics Department
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- Computer Science Position: Lecturer Semester: Fall 2026 Day/Time: Schedule TBD Modality: In-Person College: College of Science, Technology, Engineering and Mathematics Department: Computer Science, BS CIS Chula
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California State University San Marcos | San Marcos, California | United States | about 12 hours ago
Total Cost Management. Course Description This course is part of the Master of Science in Supply Chain Analytics program curriculum. OM 635 examines strategic approaches to managing and optimizing total
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management, networks and security, distributed and real-time systems Minimum qualifications: A master’s degree or equivalent professional experience in Computer Science, Computer Engineering, or related fields