65 parallel-computing-numerical-methods positions at University of California, Merced
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programs and courses, evaluation of program and course implementation, the development and growth of partnerships with districts, faculty, staff, students, and other community partners. Support the VISTA
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. The candidate will have opportunities to engage in program building efforts and have an extensive impact on the growth and development of the CalTeach program. In addition to teaching the course(s), the
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communication skills are required. Preferred qualifications Preferred Qualifications (if applicable): • Experience with experimental research, specifically using material characterization methods is preferred
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Year 2025-2026: CEE 010: Surveying and Geomatics Fundamentals, Equipment, Methods, and Applications CEE 020: Introduction to Civil and Environmental Engineering CEE 100: Civil Engineering for Sustainable
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Readers for the below courses for Academic Year 2025-2026: CEE 010: Surveying and Geomatics Fundamentals, Equipment, Methods, and Applications CEE 020: Introduction to Civil and Environmental Engineering
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for Academic Year 2025-2026: CEE 010: Surveying and Geomatics Fundamentals, Equipment, Methods, and Applications CEE 020: Introduction to Civil and Environmental Engineering CEE 100: Civil Engineering for
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, Bio, Physics, Chem, ENGR and CSE in an open tutoring center format. Tutors increase course proficiency by assisting students in finding their own answers to questions and helping them learning methods
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. The SWF program is an innovative initiative designed to equip researchers with the knowledge and skills necessary to tackle the challenges of climate change and water resource management. By integrating
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at this program? If yes, what semester and for what courses? Why would you like to become a Learning Assistant? What motivated you to apply for this position? Which course/s are you interested in assisting (see
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Smart Farm Research Junior Specialist, this position will contribute to both the research and public-facing missions of UC Merced’s Experimental Smart Farm and the Farms-Food-Future Innovation program