1,146 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of California, San Francisco
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in the areas of clinical data processing, including but not limited to Natural Language Processing, Machine Learning, Advanced Analytics; bring awareness to the technical team of new technologies
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the rules in the collective bargaining agreement. The salary range for this position is $218,200 - $245,700 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation
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Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a
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the collective bargaining agreement. The salary range for this position is $144,000 - $216,000 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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. The salary range for this position is $119,000 - $178,600 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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the collective bargaining agreement. The budgeted pay range for this role is between $38.23 – $42.21 per hour. 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
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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for this position is $63,700 - $136,100 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
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by the rules in the collective bargaining agreement. The salary range for this position is $93.17 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation
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enjoys hands-on bench work, learning new techniques, and contributing to rigorous, high-impact research that is directly connected to human disease. A candidate interested in a long-term commitment to grow