596 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at University of North Texas at Dallas
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Title: Student Services Coordinator - Learning Specialist Employee Classification: Student Services Coordinator Campus: University of North Texas - Health Science Center Division: HSC-Provost & Exec
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Title: Director of Learning Commons Employee Classification: Director of Learning Commons Campus: University of North Texas - Dallas Division: DAL-Academic Aff & Stdnt Success SubDivision-Department
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Title: Adjunct Instructor: Learning Technologies Employee Classification: Adjunct Faculty Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College of Information
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Title: Clinical Associate or Clinical Assistant Professor in Computer Engineering Employee Classification: Clinical Associate Professor Campus: University of North Texas Division: UNT-Provost
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Title: Adjunct Instructor: Learning Technologies Employee Classification: Adjunct Faculty Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College of Information
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Title: Assistant Director, Center for Innovation in Teaching and Learning Employee Classification: Senior Instructional Designer Campus: University of North Texas - Dallas Division: DAL-Academic Aff
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communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting
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are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and
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process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
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systems). Ability to develop interactive behaviors, game logic, and user interactions that support learning experiences. Understanding of animation systems, state machines, physics interactions, and UI