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teaching. Knowledge of instructional strategies and techniques appropriate to effective graduate-level teaching. Demonstrates potential to draw upon clinical experience to augment classroom teaching
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
development; UX/UI design, and/or the creative and ethical applications of emerging technologies such as artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) in design practice and
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graphics and/or visualisation, particularly around virtual environments (real-time global illumination, image-based rendering, tracking, real-time systems and augmented reality), 3D computer graphics
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augmenting one of the nation's leading departments. The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/index.html ) set the minimum pay determined by rank and step
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audiences. Experience in using AI and Gen AI tools ethically and as appropriate to augment work, coding, cleaning datasets, data extraction, and analytics. Desirable Skills: Background in educational policy
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collaboratively to advance the goals of the department. We are currently seeking candidates with research and teaching expertise in the area of Smart Manufacturing Systems including robotics, automation, augmented
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Multimedia, 3D Content & Web Development During your internship you will be tasked with
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-informed decisions, while enabling health platforms to deliver more personalised and efficient digital services. The project will also explore multimodal and immersive technologies, such as virtual/augmented
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at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t26-b.pdf . A reasonable
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laboratory experiments for data augmentation. To explore previously untested conditions and enable inverse design, generative models such as variational autoencoders or transformers will be applied to propose