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developing ‘digital feedback literacy’ among learners, understanding how technology shapes feedback pedagogy, and exploring areas where learning and teaching in the digital age can be supported by technology
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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
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will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement
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placements and simulated placements. To date, our team of practice educators have worked with occupational therapy students to facilitate their learning and development within aged care facilities
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Proceedings of CoNLL, 2018. [2] Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach Trang Vu, Gholamreza Haffari In Proceedings of EMNLP, 2018.
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techniques. It may also include hardware development of wearable assistive devices that use audio and haptic feedback. Required knowledge Image processing Computer vision Deep learning Programming (Python, C
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are central to the development of products and ideas such as wearables, on-body robotics, and exertion systems. The goal is to address key questions around the design of embodied integration and to jump-start
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and viewing experience. This challenge marks a transformational moment in the evolution in the craft of “immersive storytelling”. We invite creative practitioners (media artists, creative technologists
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to explore and solve pressing energy problems. You will work collaboratively with the energy sector, enabling you to establish an industry presence and develop leadership networks. Applications close 31 May
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. For many real-world planning problems however, it is difficult to obtain a transition model that governs state evolution with complex dynamics. Fortunately as visualised in Figure 1, recent works