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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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. I am seeking PhD students who are interested in taking inter-disciplinary approaches to exploring the issues above. Example questions to investigate are as follows: How do students make sense
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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, Melbourne. We are seeking PhD candidates interested in developing methods to assist the formative assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available
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enrolled full time in the Bachelor of Biomedical Science or the Bachelor Science Honours program, while the third is reserved for a Bachelor of Medical Science Honours student. Total scholarship value Up
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in nature, we seek to rapidly translate our research into real-world solutions to significant threats to community safety. PhD students will not directly handle this data as, in many cases, it is
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Monash University-China Scholarship Council (CSC) Joint Scholarship This joint scholarship program seeks to attract high-achieving Chinese students to undertake their PhD with Monash University
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used will the information-theoretic Bayesian minimum message length (MML) principle. Student cohort PhD, possibly Master’s (Minor Thesis) or Honours URLs/references Chen, Li and Gao, Jiti and Vahid
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Computational drug discovery Primary supervisor Geoff Webb Research area Data Science and Artificial
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In the big-data era, the proliferation of data and the widespread adoption of data analytics have made data literacy a requisite skill for all professions, not just specialist data scientists