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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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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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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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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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Monash University-Pakistan Higher Education Commission (HEC) Joint Scholarship This joint scholarship program enables high-achieving Pakistani students to undertake PhD and research degrees here
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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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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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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
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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
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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