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. Demonstrable experience advanced porous material synthesis and gas separation systems development essential. All applicants should email the following to Prof. Xavier Mulet via xavier.mulet2@rmit.edu.au: A cover
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School
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A domestic scholarship to recruit a new cohort of domestic students in our HDR program in COBL. A domestic scholarship to recruit a new cohort of domestic students in our HDR program in COBL. 3.5 years 3.5 years Applications are now open. Applications are now open. 17/3/2024 17/3/2024 One (1)...
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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sensing, to improve worker/operator safety. This project will focus on using density functional theory calculations and ab initio molecular dynamics simulations. The project is a collaboration with Dr
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of Excellence, the successful applicant will also be part of dynamic, national network of collaborating universities and industry partners, offering ample opportunities for national / international collaborations
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with tuition fee waiver. $31,106 per annum for three years. Successful international applicants will be provided with tuition fee waiver. Application is now open Application is now open Application will
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the instructions detailed on the participating university’s webpage . b) The EOI is assessed by the supervisory team and shortlisted applicants are interviewed. c) The supervisory team nominates a preferred
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developing robust and feasible mathematical models for differential privacy by investigating the data dynamics (IID and Non-IID) of distributed machine learning. Besides, trustworthiness is another major