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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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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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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages: https://www.monash.edu
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for the duration of the award. Scholarship Details Maximum number awarded 3 Eligible courses Doctor of Chemistry https://study.curtin.edu.au/offering/course-research-doctor-of-philosophy---chemistry--dr-chem
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transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people
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accelerate the global shift to electric mobility. This PhD will build an AI-driven fleet-scheduling framework that learns from battery data in real time and optimises charging, operations and maintenance
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for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We