-
within the Division of Artificial Medical Intelligence of Department of Ophthalmology in the University of Colorado School of Medicine. We focus broadly on quantitative and machine learning techniques in
-
materials housed in the learning management system, assist with the development of digital learning materials and media, coordinate instructional design projects, and provide training and support on
-
, learning science, or a related field. Substitution: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor’s degree on a year for year basis
-
Summary The Department of Electrical and Computer Engineering (ECE) at Ritchie School of Engineering and Computer Science at the University of Denver is looking to hire adjunct instructors to teach a
-
their alignment with the PhD-CES Assessment Plan, CACREP standards etc. Assess, validate, and make recommendations for student learning and for the PhD-CES program, per PhD-CES Assessment Plan, to ensure
-
distributed systems, mobile systems, machine learning, Cybersecurity and secure computing, data science and AI, and theory. Our faculty are engaged in multidisciplinary research and encourage collaborative
-
Summary The Department of Electrical and Computer Engineering at Ritchie School of Engineering and Computer Science at the University of Denver is looking to hire adjunct faculty to teach a variety of
-
of teaching and learning. Mines has the highest admission standards of any university in Colorado, and the AMS department confers Bachelor’s, Master’s, and PhD degrees in applied mathematics and statistics
-
Summary The Department of Mechanical and Materials Engineering (MME) at the Ritchie School of Engineering and Computer Science at the University of Denver is looking to hire adjunct instructors to teach
-
presence in artificial intelligence (AI). This is an open search and we anticipate more than one hire. Successful applicants will have expertise in AI and machine learning and will lead independent research