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agents. Your research will explore how reinforcement learning, multi-agent cooperation and generative worldmodels can deliver adaptive strategies that thrive amid volatile, multi-asset markets, micro
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at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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foundation, strong learning and research abilities, communication skills, excellent academic performance, outstanding work achievements, and strong potential for development Be under 35 years old (at 1st
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expertise in research methodology or willingness to learn. Well-developed computer skills. Application process Expressions of interest are invited to be submitted electronically to Professor Judith Finn via
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Indigenous students with unique professional development opportunities that combine academic growth, industry engagement, and community impact. Guaranteed Industry-Based Learning (IBL) placements ensure
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learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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to supplement a scholarship. Learn more about Mark Govier and why he created this scholarship
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into fundamental molecular events. At the same time, access to translational pipelines will enable the candidate to apply their learnings in a meaningful way, revealing novel therapeutic targets critical for cancer
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support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us