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who demonstrates exceptional passion and commitment to becoming a teacher of Japanese. This scholarship is funded by the Monash Japanese Language Education Centre (MJLEC ) and is awarded to a pre
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desired. Preference will be given to candidates who have strong written and oral communication skills, as well as strong programming skills. It is desirable that the candidates already have research
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This project will develop general cutting edge generative AI and natural language processing methods to advance AI-augmented human-in-the-loop coaching and associated training planning and outcome
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educational disadvantage and wish to contribute to the community. You will become a mentor to students from under-represented schools as part of the Access Monash Mentoring Program, giving you the opportunity
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wasn't just the language barrier; adapting to a new environment while keeping up with the rigorous demands of engineering studies was also challenging. However, receiving a Monash scholarship has greatly
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Advanced strongly typed languages like Haskell and emerging type systems like refinement types (as implemented in Liquid Haskell) offer strong guarantees about the correctness of programs. However
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knowledge program analysis, fuzzing, software testing, natural language processing
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speech recognition, and autonomous driving, etc. However, due to the intrinsic vulnerability and the lack of rigorous verification, DL systems suffer from quality and security issues, such as the Alexa
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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
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to detect unknown signals from gravitational-wave observatories across planet Earth. References Comley, Joshua W. and D.L. Dowe (2003). General Bayesian Networks and Asymmetric Languages, Proc. 2nd Hawaii