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University of California, San Francisco | San Francisco, California | United States | about 7 hours ago
Required Qualifications This position requires flexibility to orient and work at all UCSF Medical Center locations High school graduate or GED Graduate from an accredited training program in Neurodiagnostics
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to a deeper understanding of material behaviors, paving the way for the development of next-generation high-performance materials. For more details, please view https://www.ntu.edu.sg/mse/research and
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administrative coordination. This position enhances program performance by delivering detailed analysis, preparing strategic materials, and contributing to a high-performance culture aligned with SEC and
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. Maintain census information. Assist in training new unit clerks and orient staff to new policies and procedures. Graduation from high school or an equivalent combination of education and experience is
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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. Maintain census information. Assist in training new unit clerks and orient staff to new policies and procedures. Graduation from high school or an equivalent combination of education and experience is
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through high-impact publications and conference presentations. Mentor graduate and undergraduate students
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Your Job: Building and improving the existing measurement setup Performing controlled "leak" experiments and collecting high-speed data Working in high vacuum applications such as Einstein Telescope
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Program to offer highly effective course review sessions, track attendance, and provide accurate attendance reports. Hire, mentor, and supervise 30+ peer tutors throughout the academic year to provide high
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Department: Col of Engineering and Computing Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk