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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
follow-through. The Facilities Projects group supports UCSF academics and operations by using data analysis and building technology to improve efficiency and reliability of building systems and campus
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reliable power delivery to all site facilities Perform system analysis, load studies, and fault current calculations to support infrastructure planning and upgrades Support the design and review
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unit. The Specialist is responsible for programmatic management, data collection and analysis, and administrative coordination for the career advising unit, and provides administrative support for
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maintenance management systems and software, with the ability to schedule preventive maintenance, track repairs, and analyze data to improve shop efficiency and equipment reliability Job Description
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to work independently and collaboratively We are also looking for the following competences: Programming skills (preferably in Python) Experience with statistical analysis tools or using pressure
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in Snowflake, DBT, or similar tools to prepare clean, reliable, analytics-ready datasets. Create reusable data models (views, marts, semantic layers) aligned to governance and data product standards
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and evaluation and assessment of student learning. Works with faculty and staff to develop and monitor course and program evaluation, and assessment of student learning. Ensures validity and reliability
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for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and
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models. Dr. Gao's lab advances foundational and system-level language technologies with the goal of enabling reliable, efficient, and clinically meaningful real-world applications, particularly in medicine
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methods Design and construction of genetic targets Cultivation in cultivation system BioLector XT and shake flasks HPLC and GC analytics Independent data analysis and presentation of results Documentation