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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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. Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding directions About the project Most research in women’s sexual and
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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stigma and do not reify differences. Failing to apply what we have learned from this approach risks us failing to achieve virtual elimination for all. Aims This research project aims to identify pathways
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. If left unacknowledged or untreated this can lead to stress, anxiety, depression, or post-traumatic stress disorder among healthcare workers. Clinical debriefing enhances team-based learning and effective
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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candidate willing to learn new skills and undertake statistical analyses using a variety of datasets. People within Australia with a relevant Honours or Masters (e.g Public Health, Biostatistics, Epidemiology
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students undertaking Research Doctorate degrees. To find out more, visit www.monash.edu/study/fees-scholarships/scholarships Be inspired, every day Drive your own learning at one of the world’s top 80
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government background checks (allow for between 4 to 8 weeks) and complete any other CSIRO requirements. Selection criteria To be eligible applicants must: Have a basic understanding of machine learning
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practices in professional physics and students' engagement in these practices The role of agency in students learning physics practice A mixed-method, longitudinal study on factors related to retention in