199 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Washington in United States
Sort by
Refine Your Search
-
sciences plus two years’ experience preferred. Experience with machine learning, data mining, and analytic techniques. Experience mentoring and developing junior employees on soft and technical skills
-
, resulting and reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills
-
reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding
-
reviewing entries for all reference lab testing, performing blood draws on patients, and performing various computer functions. Perform Customer Service | Exercise your customer service skills by responding
-
office computer skills to include MS Word, Excel, and willingness to learn other applications/programs as necessary. Equivalent education/experience will substitute for all minimum qualifications except
-
posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Accounting, Adobe Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy
-
and coordinating catering needs. Onboarding Provide onboarding for newly hired hospitalists, nocturnists, and consultants (HMP faculty) including orientation, computer and systems access requests
-
will have the opportunity to learn and apply advanced data analysis techniques, including machine learning and econometric modeling. Through collaboration and technical expertise, this position supports
-
promotes a place where healing, science, and learning come together, the opportunity to network with other practitioners in different specialties and to continuously learn about new cutting-edge therapies
-
Emergency Management team, are the Business Intelligence & Information Technology group and the Finance & Administration group. Please visit the UW Facilities web page for more information: https