643 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at Monash University
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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time. Our Faculty of Information Technolog y is globally recognised (ranked #40 in Data Science & AI, QS 2025 and #61 in Computer Science, Times Higher Education 2025), with our DSAI department leading
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that bring the transformative work of the Revitalising Informal Settlements and their Environments (RISE) program to life — across Australia, Indonesia and Fiji. In this dynamic and influential role, you’ll
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Engineering Excellence Scholarship Sir John Monash Scholarship for Distinction This scholarship is for commencing Engineering students and is awarded based on academic achievement. Up to five
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. This program of work will engage three PhD students, each from a different background (technical, psychology, design/HCI), to contribute their expertise towards enhancing the helpline service and improving
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, proximal transducer assays, second messenger assays) to understand GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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This project focuses on brain network mechanisms underlying anaesthetic-induced loss of consciousness through the application of simultaneous EEG/MEG and neural inference and network analysis methods. In this work we study the effects putative NMDA antagonists xenon, a potent anaesthetic, and...
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analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health services are highly desirable. Project funding Project based scholarship
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention