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Status: Opening Applications open: 1/07/2024 Applications close: 20/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Access to information is a significant pathway for accessing knowledge and open science. Hence, it is hugely...
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audiovisual works using the sound-alike voices or cloned images and videos of human performers. These can have positive benefits such as allowing people who lost their ability to speak to use their own
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unilaterally. For a greater and deeper understanding of whether the responses to climate action ensure climate, environmental and social justice and human rights, the environmental and climate policies
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extant evidence base for best candidate assessment practices, namely, thousands of validation studies, assumes that humans are the sole agents of what they produce, both as candidates and as employees. In
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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
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a background in a relevant humanities and social science discipline, such as communication and media studies, internet studies, computer science, generative AI, or critical technology studies have
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to define the principles of guidance and test for adherence to these principles in recordings of both AI and human guided intervention. This would provide essential evidence to tease out whether it is the
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traditional face-to-face environments. Emergency care in the virtual environment is essential for equitable healthcare delivery in WA. Aims This research proposes to co-adapt, and co-design implementation
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to describe how people and communities cope in the face of change and uncertainty. It underpins an approach that builds our capacity to survive better through acute or longer-term, and often severe, disruptions
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– images, video, depth, thermal imaging, and inertial measurement units (IMUs) – to achieve (super)human-level performance in understanding sensory data. This advancement renders the traditional method