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relationships with a diverse range of stakeholders, are essential. You will also possess strong computer literacy, including experience using Microsoft Office and business systems such as StarRez and Pulse. About
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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Artificial Intelligence is rapidly transforming healthcare by assisting clinicians in disease diagnosis, prognosis, and treatment planning. While recent advances in deep learning and large language models (LLMs) have significantly improved predictive performance, most existing AI systems remain...
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, collaborating with academics and staff Transform ideas into impact by enabling research initiatives and programs The Opportunity The Medicine, Nursing and Health Sciences (MNHS) Faculty Office is seeking
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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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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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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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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...