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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
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vary. Student type Future Students Faculties and centres Faculty of Health Sciences Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course
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These research projects will examine technology design and use, focusing on the intersections of people/society and digital computing technologies. Project designs will be interdisciplinary and use
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research related to 5 key industry sectors: Healthy Environments; High-Tech Manufacturing; Medical Technology; Smart Energy; and Sustainable Resources. With state-of-the-art facilities and infrastructure
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, publish in Q1/CORE A* venues, and turn results into demonstrator systems. Supervise & mentor Master’s and PhD candidates and support early-career academics. Engage industry by chairing the Program’s
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conjunction with the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T), is looking for an exceptionally high-performing student to perform advanced theoretical work in
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Job no:516557 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology Level A $78,544 - $105,611 per annum plus an employer contribution
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enable us to better understand deformation - with a view to anticipation, remedy and possibly prevention. The PhD project is a collaboration between the Faculties of IT and Engineering with the student
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scholarship is available. One scholarship is available. Eligibility requirements: have a first-class Honours or Master's or equivalent degree in a relevant discipline of engineering/science be an Australian
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Honours in engineering or science, or another suitable field. To be eligible for this scholarship you must: Be an Australian citizen or an Australian permanent resident who is eligible and has applied to be