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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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research and cybersecurity research, notably one current direction is on advancing the latest generative AI models for cybersecurity, or vice versa: using cybersecurity to attack AI. The student is free
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, infer arbitrarily closely to any model underlying data. We endeavour to do the following: Apply MML to test datasets (degenerate motifs of 6-12 base pairs and with 1 to 2 variable nucleotides) Apply MML
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sophisticated AI models for high performance computing (HPC) environments, implementing distributed training strategies and performance tuning at scale Lead development of automated MLOps pipelines using
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support conversation can be well combined with the desired emotion and voice patterns for generating natural and empathetic speech. However, current deep generative models perform poorly for compositional
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accounting software, advance level of using Microsoft Office suite of applications such as Power BI and Power query as well as Excel modelling, utilisation of web technology and experience in the use
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Masters project Supervisors Login Recently added Uncertainty quantification using deep learning GEMS 2026: Toward Distribution-Robust Medical Imaging Models in the Wild PhD/RA opportunities on Multimodal We
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using deep learning GEMS 2026: Toward Distribution-Robust Medical Imaging Models in the Wild PhD/RA opportunities on Multimodal We have several PhD and Research Assistant (RA) opportunities available in
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities