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. You will coordinate complex research activities, support governance and ethics processes, and ensure the seamless delivery of multi-site data collection and analysis. This is a hands-on, high-impact
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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become overwhelmed, slower to respond, and more likely to overlook genuine indicators of compromise. A range of methods have been explored to reduce false alerts, including provenance-based analysis and
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reconstruction and data analysis. The PhD students will be working at Monash Biomedical Imaging and Faculty of Information Technology, Monash University. Monash Biomedical Imaging is one of the most advanced
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also involves routine data analysis and reporting, providing practical advice to staff, and supporting continuous improvement initiatives. Working collaboratively across faculties and central teams, you
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exercising a high level of independence, judgement and initiative. You will demonstrate highly developed written, verbal and visual communication skills, with the ability to engage confidently with a diverse
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additional strengths in visual communication, extended reality, and screenwriting. You will also have an established grounding in communication theory and contribute to research in communication and media
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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analysis and design of replication studies", J Royal Statist Soc. (A), vol. 183, no. 2, pp431-448 K Rice, T Bonnett and C Krakauer (2020), "Knowing the signs: a direct and generalizable motivation of two