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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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to biomedical applications. Students will have access to our X-ray imaging laboratory in the New Horizons Research Centre for developing new technology. We also regularly perform experiments at the Australian
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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requirements are available at https://www.monash.edu/engineering/future-students/graduate-research/how-to-apply Your application will be looked upon favourably if you: Graduated in the top 10% of your year level
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of these crystals greatly affects the performance of the metal and hence the performance of components where metals are used - such as in aeroplanes, gas turbine engines, cars, etc. The manner in which such materials
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are being set up, those from the Monash Energy Institute will give you a first idea of the breadth of our activities: https://www.monash.edu/energy-institute Note: while only "Optimisation" is selected as the
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There is an opportunity to enrich indoor rock-climbing or bouldering through interactive technology. This project builds on prior work and combines bouldering with Hololens and motion capture
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to facilitate novel bodily water play interactions in-water, on-water and underwater. An interest and experience with water-based activities, interactive technology, hardware prototyping (including actuators
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FL; 3) Design and optimise task-specific FL algorithms for NLP and Medical AI; 4) Design and implement a user-friendly FL framework for both research and technology adoption purposes. We expect
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, the candidate will work with leading researchers in IT and engineering, access world-class research resources, learn state-of-the-art techniques, such as spatio-temporal data analytics, stochastic optimisation