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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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. To be successful you will need: PhD in Educational Technology (in the final stages), or equivalent qualification Emerging record of research excellence in educational technology with recent high-quality
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and feedback. The successful applicant will work on designing and developing an architecture for modelling and simulating aggregated entity behaviours, in an event driven architecture paradigm, under
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PhD students working on related projects within the partnership. Outputs will include: Research publications in high-quality journals and conferences. Innovative AI solutions and prototypes addressing
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer
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, implementing, and optimising advanced neural network architectures tailored to biological sequence and network data, with a particular focus on RNA-mediated gene interactions. Applying interpretable machine
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for designing, implementing, and testing cross-communication layer cybersecurity methods for critical surveillance, as well as mentoring higher-degree research candidates. While a PhD degree is not required
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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criteria: A track record of proven academic excellence, such as a PhD or first class Honours (or equivalent) Completion of an undergraduate degree (with Honours) within the past eight years (2017 or after
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the Job related to staff position within a Research Infrastructure? No Offer Description Full-time, Fixed Term for 3 Years Salary Academic Level A6-B1 ($102,047 -$115,303 p.a.), depending on post-PhD