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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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abdominal symptoms. Standalone clinical indicators like CA125 or traditional screening algorithms (e.g., ROMA) frequently produce ambiguous results or lack sufficient sensitivity for early detection
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estimation, confidence calibration, model routing, token selection, early exiting, adaptive visual processing, and efficient use of multiple foundation models. The work will combine algorithm development with
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human-centred embodied AI New methods for modelling human behaviour and interaction dynamics Multimodal temporal and predictive learning algorithms Experimental evaluation against strong contemporary
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connected research environment. Monash University seeks applicants for this opportunity who are able to demonstrate present valid and current Australian work rights. About Monash University At Monash , work
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Christopher O'Neill ) Auditing Algorithms: Detecting and reducing discrimination in AI-Driven Decisions (Dr Charles Crabtree ) The changing nature of digital inequalities in an age of AI (Prof. Neil Selwyn
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This research aims to design a sustainable framework for optimizing distributed computing systems to enhance performance while minimizing energy consumption. Existing scheduling algorithms often
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to develop your career at the intersection of AI and health. About Monash University At Monash , work feels different. Thereโs a sense of belonging, from contributing to something ground breaking โ a place
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๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ at Monash University and work closely with ๐๐ฅ๐ฎ๐ซ๐๐ฅ๐ข๐ฌ ๐๐๐ฌ๐๐๐ซ๐๐ก, the industry partner on this project. The project focuses on developing ๐๐ง๐๐ซ๐ ๐ฒ
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at Monash University, the largest university in Australia which regularly ranks in the top 100 universities worldwide, and housed at the ARC Centre of Excellence for the Elimination of Violence Against Women