613 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at Monash University
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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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Bachelor of Occupational Therapy (Honours) The Betty Amsden program helped me gain clarity about my career pathway and increase my confidence. I think these were strong contributing factors to excelling in
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This project focuses on brain network mechanisms underlying anaesthetic-induced loss of consciousness through the application of simultaneous EEG/MEG and neural inference and network analysis methods. In this work we study the effects putative NMDA antagonists xenon, a potent anaesthetic, and...
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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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citizen Australian permanent resident Australian humanitarian visa holder An International student You must meet the following criteria: have submitted a scholarship application in the current year; meet
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Liaise with key internal and external stakeholders Maintain accurate records and data using research management systems such as Pure and Salesforce (UniCRM) Contribute to process improvements and support
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The Opportunity Do you thrive at the intersection of technology, data and people? We’re seeking a Business Systems and Data Officer to play a key role in supporting the implementation, transition and enhancement
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer science