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programs such as Microsoft Word and Excel required Willingness to learn new computer programs as needed to sustain practice operations The flexibility to orient and work at all UCSF Medical Center locations
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University of California, San Francisco | San Francisco, California | United States | about 17 hours ago
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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. Certification in phlebotomy (CPT) Demonstrated computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel. Willingness to learn new computer programs as needed
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at the University of California, San Francisco, is seeking outstanding candidates for a full time scientist with expertise in machine learning techniques, who will work with the Breast Care Surgery team on the WISDOM
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. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description UCSF
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hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits
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, decontamination equipment, and computer systems related to these duties. The incumbent participates in performance improvement planning and implementation. This position requires the flexibility to orient and work
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Excel. Willingness to learn new computer programs as needed to sustain practice operations. Ability to work effectively with people from diverse cultures and diverse socioeconomic situations. Must be
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. • Demonstrated computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel. • Willingness to learn new computer programs as needed to sustain practice operations
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or related quantitative discipline, with strong training and experience in Computational Biology, Statistics, Machine Learning, Data Science, or Data Engineering. Demonstrated track record of analyzing large