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, Part Time MATH 103: Supported Finite Mathematics and Algebra Position: Lecturer Semester: Fall 2026 Day/Time: Varies (multiple sections) Modality: In-person College: College of Science, Technology
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Sciences BIOL 215: EXPERIMENTAL DESIGN & STATISTICAL ANALYSIS Position: Lecturer Semester: Fall 2026 Day/Time: Tuesdays & Thursdays from 7:00 p.m. to 8:50 p.m. Modality: In-person College: College of Science
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to teach CIS 341: Computer Systems Analysis and Design. This 16-week course will be taught in-person, from 8/31-12/12/26, schedule TBD. Course Description Covers the systems development life cycle
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California State University San Marcos | San Marcos, California | United States | about 10 hours ago
, business intelligence platforms, or other technologies to support cost and supply chain analysis. Experience applying total cost analysis, cost modeling, or cost-to-serve analysis in professional practice
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operating procedures to perform complex budget analysis work and provide consultation and training to campus constituents. May require the development of new approaches, techniques, and innovation to address
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California State University San Marcos | San Marcos, California | United States | about 10 hours ago
methods, and critical analysis of complex problems. Multicultural perspectives and ethical issues are integral to the department’s curriculum. MINIMUM QUALIFICATIONS: Ph.D. in Psychology, Cognitive Science
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mandatory component of the course. Minimum qualifications: A master's degree in Spanish Per the California State University’s Out-of-State Employment Policy, the CSU is prohibited from hiring employees
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colonialism as the origin of environmental injustice, genocide, and land dispossession as its constituent components are viewed as an ongoing process and structure that keeps American Indian and Alaskan Native
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has a field component. Minimum qualifications A master's degree or equivalent in American Indian Studies or related discipline Per the California State University’s Out-of-State Employment Policy
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commensurate with credential and experience. Course description: Basic statistical methods for analysis of data in psychology; descriptive and inferential statistics; hypothesis testing; parametric tests