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develop team members, and deliver outstanding customer service. You will be a collaborative and proactive professional with sound computer skills, a commitment to safety and compliance, and the ability
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This project focuses on simulating the organic growth of criminal communication networks by leveraging techniques such as Reinforcement Learning and Graph Theory. The goal is to curate a synthetic dataset that models the evolving structure and dynamics of illegal networks, taking into account...
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analytical and problem-solving abilities, advanced computer skills across Microsoft Office and Google Workspace, and experience developing effective administrative processes will be essential. Familiarity with
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computational techniques can be combined with classical systems to improve performance, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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for research staff on research matters across the Faculty of Engineering aligned with faculty research strategy As the successful candidate you will be responsible for supporting the identification of funding
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, software architectures, Machine Learning
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the School of Social Sciences. The project will focus on the lived experience and impacts of displacement linked to a community impacted by climate-related disaster. Using primarily qualitative methods
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% employer superannuation) Opportunity for a highly organised, proactive and tech-savvy EA Support a globally ranked Top 1% Faculty in Humanities and Social Sciences Clayton campus location including hybrid