611 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Monash University
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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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Research Training Program (RTP) Stipend Research Training Program (RTP) Scholarships, funded by the Australian Government, support both domestic and international students undertaking Research
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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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the Faculty of Medicine, Nursing and Health Sciences, to access a Monash education Applications Not offered in 2026 Total scholarship value Up to $30,000 Number offered One at any time See details Madeline May
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Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive a tax-free stipend of $37,145 per annum (2026 full-time rate), as per the Monash Research Training Program (RTP
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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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in analogue formats in the first place. However, the preservation of information is often a neglected aspect of community informatics projects and of information behaviour research. This PhD project
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music technology have allowed us to remap the connection between our bodies and sound. Though music and movement have always been intrinsically linked, the rise of the laptop DJ broke that nexus. At worst
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both