1,118 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of California, San Francisco
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individuals working at UCSF in a similar role. For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range. To learn more about the
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. The salary range for this position is $34.32 - $55.19 (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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, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $85.88 - $115.58 (Hourly Rate). To learn more about the benefits
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will be specific rules about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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will be specific rules about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
comprehensive, individualized patient care. This role requires learning and applying Patient-Centered Medical Home Standards and the Ten Building Blocks of Primary Care. Responsibilities include medication and
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unit agreement, there will be specific rules about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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additional approvals based on UC policy. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https
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labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $34.32 - $55.19 (Hourly Rate). To learn more about
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is not limited to, new technology solutions and the creation and implementation of AI and machine learning-enabled care workflows, in partnership and close collaboration with clinical and