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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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This project focuses on identifying and distinguishing between authentic audio recordings and those that have been artificially generated or manipulated. As voice cloning technology advances
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with generous top-up scholarships. We're looking for talented students with a background in mathematics, computer science, statistics, economics, engineering or other related fields. These positions
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Senior HR Business Partner Job No: 695634 Location: 211 Wellington Road, Mulgrave and Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $169,722 - $180,141 total remuneration package pa HEW Level 09 (inclusive of $145,062 - $153,967 base salary pa and 17%...
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This project involves the automated generation of textual descriptions for audio content, such as spoken language, sound events, or music. This process typically employs deep learning techniques, such as recurrent neural networks, transformer models, and so on, to analyse audio signals and...
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analysis and reporting, participate in continuous improvement initiatives, and build strong relationships with internal teams and external partners to ensure seamless program delivery and alignment with
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learning, artificial intelligence, statistical computing, data visualisation, computational statistics, or data science, who are excited to contribute to our world-class research, innovative teaching, and
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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, artificial intelligence, statistical computing, data visualisation, computational statistics, or data science, who are excited to contribute to our world-class research, innovative teaching, and growing
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knowledge program analysis, fuzzing, software testing, natural language processing