259 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at Monash University
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acknowledge and pay respects to the Elders and Traditional Owners of the land on which our five Australian campuses stand. Information for Indigenous Australians
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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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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Despite the popularity of providing text analysis as a service by high-tech companies, it is still challenging to develop and deploy NLP applications involving sensitive and demographic information
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potential to facilitate the process of generating health-related advice without the need for predefined rules or training data. Yet, their reliability remains a serious concern. This project aims to first
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scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and achieve my academic goals. Law has been a dream of mine for a long time
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application by the deadline. For more information on the funding scheme, contact the team in Global Engagement on E: ge-HDR@monash.edu For more information on applying to Monash, visit our website or contact
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information about behavioural patterns, but scoring this manually is time consuming. For this reason, machine learning solutions have been developed to automate behavioural prediction [5-12]. DeepLabCut [5] is
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time challenges in managing data volumes (especially given the 3D format), and impacts related to digital slide and storage formats the relationship of these issues to Quality Assurance programs in
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Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20). Hua, Yuncheng; Qi, Daiqing; Zhang, Jingyao; Qi, Guilin; Li, Yuan-Fang. Less is More: Data-efficient Complex Question