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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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, assessing students and the supervision of students enrolled in selected courses within the program. You will participate in the program’s continuing review of course content and development, delivery
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material, assessing students and the supervision of students enrolled in selected courses within the program. You will participate in the program’s continuing review of course content and development
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This project will investigate the combination of geospatial technologies, such as GIS and remote sensing imagery, and AI techniques, such as machine learning and knowledge representation. This project will investigate the combination of geospatial technologies, such as GIS and remote sensing...
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In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite formation
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC
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) to conduct research in organic resource recovery project. The project will provide numerous development opportunities including: Developing lab-scale and pilot scale experimental rigs Developing numerical
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within the program. You will participate in the program’s continuing review of course content and development, delivery, teaching methods (including online delivery methods) and methods of students
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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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This project invites mixed-methods and interdisciplinary candidates to investigate online debunking practices with the aim of identifying and testing potentially effective strategies to counter mis