166 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of California in United States
Sort by
Refine Your Search
-
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 benefits of working
-
using case management system and leave tracking tools. Thorough knowledge of FMLA, CFRA, PFL, PDL, Workers Comp, Military Leave, ERISA, HIPAA and applicable state and federal laws and those covered under
-
is $78,900 - $167,300 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits
-
classrooms and other learning spaces, as well as faculty and staff offices, conferences rooms, and study spaces. The CSS team serves as the second-tier support at the ACIS Helpdesk, handling inquiries related
-
apply even if your experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu/departments/recruitment/ucd
-
customer service, active listening, professionalism, and effective collaboration. Proficiency with computer applications, including Microsoft Office Suite and Google Workspace, and the ability to learn and
-
$25.72 - $36.59 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
-
agreement. 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
-
is $25.72 - $36.59 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits
-
modeling, machine learning, or data-driven prediction methods applied to environmental datasets. Experience building and maintaining large, frequently updated archives of weather or climate observations