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Performance Computing platform (MASSIVE) to do the experiments.
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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Answering over Knowledge Bases. Journal of Web Semantics, 2020. Hua, Yuncheng; Li, Yuan-Fang; Haffari, Reza; Qi, Guilin; Wu, Wei. Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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Mobile and continuous health monitoring has seen major advancements in recent years. The capabilities of current mobile phones and their built-in sensors have inspired many mobile sensing applications for monitoring individuals' health, activities and social behaviour. Yet, there is a lack of...
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remain enrolled in the scholars program and maintain a Weighted Average Mark of 70 each semester. How to apply No application is required. All eligible students who list Monash University as a VTAC course
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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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to apply No application is required. All eligible students who list Monash University as a VTAC course preference will be automatically assessed. Students will participate in a leadership program throughout
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MMG Women in Engineering Scholarship Achieving Potential Scholarship for Excellence MMG wish to actively promote female participation in Engineering by providing philanthropic support to encourage