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of Earth and Planetary Sciences (EPS), and across schools in Curtin University. The applicant will work in parallel with the Director of Curtin’s Western Australia Organic and Isotope Geochemistry Centre (WA
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geomechanics, or ability to quickly acquire relevant domain knowledge. Proficiency in high-performance computing (HPC) for large-scale parallel simulations. Experience with advanced constitutive models and their
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Testing, Parallel Payroll Testing, and User Acceptance Testing. Work closely with the Program Test Manager, Senior Functional Business Analyst, and other stakeholders to translate business requirements into
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or field including associated analysis possibly involving statistical or data analytical software. Work across teams and projects, often on a number of parallel and competing tasks. Work with discretion
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strengthening research capabilities in the region. The candidate will be part of the WAARC Postgraduate Cohort and supported through WAARC’s Postgraduate Research Scholarship Program. The candidate will work
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of Earth and Planetary Sciences (EPS), and across schools in Curtin University. The applicant will work in parallel with the Director of Curtin’s Western Australia Organic and Isotope Geochemistry Centre (WA
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of Earth and Planetary Sciences (EPS), and across schools in Curtin University. The applicant will work in parallel with the Director of Curtin’s Western Australia Organic and Isotope Geochemistry Centre (WA
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target and the possibility that specific environmental factors may modulate brain function via microbiota-gut-brain interactions. In a parallel program of research, we have been exploring epigenetic
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural