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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
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known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
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motivation Testing whether the system performs equitably across cultural and language groups Training spans intervention design, trial methodology, human-computer interaction, and applied machine learning
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process should be directed to; Dr Melinda (Millie) McCabe, Senior Project Co-ordinator, E: [email protected] . Applications Close: Monday 31 August 2026, 11:55pm AEST Supporting a diverse workforce
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, segmentation, anomaly detection and learning in the context of non-stationary distributions. The candidate will also be connected to the Faculty of Information Technology. The Temporal Analytics Lab, directed by
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learning of Japanese in Australia. The MJLEH Scholarships support graduate researchers to complete a PhD at Monash University on a topic related to the acquisition and/or teaching of Japanese Language and
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applicants with a background or experience in: • Computational chemistry • Materials simulation • Scientific machine learning / AI • Molecular dynamics or DFT • Materials science or a related discipline
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will be awarded. Enquiries: Further enquiries about the scholarship or application process should be directed to; Dr Melinda (Millie) McCabe, Senior Project Co-ordinator, E: [email protected]