145 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at The University of Arizona
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
collaborative-driven research. Many of these units are ranked in the top 10 nationally in their specific disciplines and are highly recognized internationally. We are an integrative learning institution, offering
-
evolve. Minimum Qualifications Bachelor's degree or equivalent advanced learning attained through professional level experience required. 3 years of relevant work experience. Preferred Qualifications
-
Master's degree in a relevant field required or equivalent advanced learning attained through professional level experience. 8 years of progressively complex museum registration experience, or equivalent
-
cataloging of tissue samples. Knowledge, Skills & Abilities: Knowledge of basic molecular and cell biology techniques. Ability to collect experimental data and handle animals. Self-motivated and readily learns
-
its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level OC3 Job Family Clinical Research
-
this description as organizational priorities and institutional needs evolve. Minimum Qualifications Bachelor's degree or equivalent advanced learning attained through professional level experience required. Three
-
, including the UX@UA campus learning community. Curate UX and content strategy resources through the Libraries’ outreaching channels such as The UX Cookbook and uxEd. Gather input from users and stakeholders
-
Bachelor's degree or equivalent advanced learning attained through professional level experience required. Three years of related work experience or equivalent combination of education and work experience
-
offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream
-
simultaneous tasks, support operational workflows, and troubleshoot technical issues effectively. Capacity to learn new tools, adapt to emerging technologies, and apply best practices to improve processes