428 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Arkansas in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and
-
a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900
-
ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is
-
that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and
-
activities. • Leverages Extension specialists and research-based information to design, implement and teach educational programs in all Family and Consumer Sciences (FCS) priority areas. Responds to clientele
-
origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which
-
– Pulaski Technical College (UA-PTC) in North Little Rock, Arkansas, is accepting applications for an HVAC 9 Month Adjunct Faculty position. The faculty member will be responsible to teach one or more HVAC
-
, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title
-
origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which
-
Development • Collaborate with faculty and research teams to design and deploy AI-based monitoring systems for shrimp and fish culture • Develop machine learning models for automated detection of feeding