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Australian or New Zealand citizens or Australian permanent residents newly enrolling in a PhD. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team
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or computational materials modelling is highly desirable. Background in either AI or computational materials modelling is highly desirable. This scholarship will be governed by RMIT University's Research Scholarship
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Empowerment Program Kids Fun Day For Health Professionals Personal Stories Toggle Sub Navigation Share Your Story How To Help Toggle Sub Navigation Fundraise Toggle Sub Navigation Get Started Live
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models Working closely with industry partners through internship program RMIT School of Engineering Scholarship is available for an aspiring chemical engineering graduate (BTech/Masters) to conduct
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degree, or equivalent, in fashion and/or textile design or related field; the candidate should have Australian citizenship or permanent residency. The candidate should hold a first class Honours degree
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This PhD Scholarship is funded by 2022 ARC Discovery Project “Modelling temporal evolution in spatial ecology with dynamical point processes". The world is undergoing rapid environmental change, including global warming, shifting climates, eutrophication, habitat loss and fragmentation, and...
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
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: Full-time Duration: 4-year fixed-term appointment Remuneration: $47,000 per annum (2025 rate) The Opportunity The project is under the CSIRO’s Industry PhD (iPhD) Program that brings together an industry
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”. The key concept of this project lies in the design of novel catalyst materials for facilitating the conversion of water and CO2 into value-added products. Such conversion is anticipated to generate green