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Description Join the Next Generation of Cancer Imaging Research We are seeking highly motivated students to join an exciting multidisciplinary program focused on the development of novel molecular contrast
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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Image processing and computer vision Experimental data analysis and uncertainty quantification Piezoelectric actuation, acoustic systems or electronic driver development Eligibility and Project
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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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minimum eligibility criteria for admission. In addition to the minimum eligibility criteria, the candidate should possess the below desirable criteria: - Background in computer science, AI, bioinformatics
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PhD scholarship opportunity in Materials Science and Engineering: NOₓ production by plasma bubble reactor Job No.: 697669 Faculty/Portfolio: Faculty of Engineering Location: CSIRO Clayton, Victoria
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the Monash AI Institute, this program brings together researchers from Monash Medicine, Nursing and Health Sciences, Monash Information Technology, Monash University Malaysia, and industry partners to develop
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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learning, materials characterisation or computational materials science. Previous experience with machine learning, computer vision, graph neural networks, Python, SEM/EBSD, XRD, image analysis
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and