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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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Performance Computing platform (MASSIVE) to do the experiments.
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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collaboratively with peers across the full portfolio, the role will contribute to the organisation-wide expansion of Monash’s research capability, performance and impact. Joining a high-performing team, you will
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Ready to step into a high-impact leadership role where strategy meets action? This is a rare opportunity to shape the future of the Buildings & Property Division by driving strategy, performance, and
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directly to the delivery of high-impact research by providing technical, experimental and operational support across a range of laboratory activities. Working closely with researchers, clinicians and program
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The Opportunity The Sir Zelman Cowen School of Music and Performance is seeking an Academic Research Assistant to contribute to the ARC Discovery project Climate Vocabularies: New Methodologies for Music and
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technical boundaries. A commitment to fostering high‑performing, inclusive, and supportive engineering teams. The role is based in Clayton, Victoria, but occasional travel to Malaysia will be required. About
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principles and safe work practices. High-level computer literacy and the ability to quickly learn and adapt to new systems. About Monash University At Monash , work feels different. There’s a sense of