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physics, chemistry or related engineering disciplines are encouraged to apply. To be eligible for this scholarship you must: have a first-class honours or equivalent in physics, chemistry, or related
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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through their investor conference a co-investment from the College of Science and Engineering. This funding provides a unique opportunity to advance innovative medical device research and support four high
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2025 - January 2026. Have an honours or master degree qualification in an economics, health or related discipline. How to apply Apply for this scholarship at the same time you apply for admission
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
for research that benefits Indigenous communities – in a relevant disciplinary area, including Human-Computer Interaction, Media Studies, Digital Cultures, Digital Sociology and Digital Humanities
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. One (1). One (1). Highly motivated and an entrepreneurial spirit Masters or Honours degrees in computer science or engineering Strong computer science skills and some experience with statistical
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, applied maths, physics, chemistry, computer science, computational modelling, earth science or similar. Strong programming skills. Experience in making gas flux measurements Excellent project management
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or computer science. Applicants should contact Associate Professor Ibrahim Khalil via ibrahim.khalil@rmit.edu.au and Professor Xun Yi xun.yi@rmit.edu.au with the following information to discuss eligibility: A
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially