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Ashton Nixon Scholarship Sir John Monash Scholarship for Achievement The Ashton Nixon Scholarship is supported by Associate Professor Rosemary Nixon AM to support undergraduate students embarking
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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connection to the region – socially, economically and culturally. The program is designed to ease the full cost of study for international students – combining tuition support, travel and relocation assistance
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computational techniques can be combined with classical systems to improve performance, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing
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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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the University. Enquiries: Professor Jenny Gamble, Professor of Midwifery, +61 3 9904 4640 Position Description: Senior Lecturer (Midwifery) Applications Close: Friday 20 February 2026,11:55pm AEDT Supporting a