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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
. The salary range for this position is $29.68 - $42.48 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
the rules in the collective bargaining agreement. The salary range for this position is $31.91 - $45.70 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please
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Douglass is a collaborative and meaningful experience where instructors interact with each other and with the peer mentor assigned to their courses. Requirements include the following. o Teach one 3.0
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statistical and machine learning models (e.g., regression, NLP, clustering). Design end-to-end solutions with strong focus on transparency, reproducibility, and performance. Explore and visualise datasets using
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) into the Canvas learning management system, ensuring a smooth, scalable student experience. ï‚· Create high-quality instructional content in areas such as: o Network infrastructure design and management (Layer 2
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support for the Pathways in Health and Medicine (PHM) Director and Program such as: o Maintain the Session Tracker in Google Sheets to ensure session links, sessions schedules and due dates are up to date
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expected. Job Duties o Review, assess and improve the 2-year program in Mechatronics program. o Teach at least two Mechatronics classes, as needed, which may include evenings and/or Saturdays. o Select
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of time, Repetitive motion, working at a computer for long periods of time. Shift M-F 8am -5pm Job Summary We are seeking a dedicated and organized Temporary STEPS Administrative Assistant to provide
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biology and genomics, with a special emphasis on genomics - in statistical data analysis and data visualization methods with a special emphasis on genomic data - with machine learning and artificial
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implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves