407 computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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scholarship opportunity may be available for this project. Monash Engineering is a leading global centre for research consistently placing highly in international ranking lists. We engage with industry and
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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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, 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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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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. 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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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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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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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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ideas through implementation science and health research The Opportunity The School of Nursing and Midwifery has two exciting Research Fellow positions available to contribute to the ENGAGE Project