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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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computer literacy and the ability to manage a significant file load under pressure while maintaining absolute discretion and ethical standards. About Monash University At Monash , work feels different
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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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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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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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, software architectures, Machine Learning
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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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
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., Pan, S., Aggarwal, C., & Salehi, M. (2022). Deep learning for time series anomaly detection: A survey. ACM Computing Surveys.
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student You must meet the following criteria: Current student enrolled in an Honours program in the Department of General Practice in the School of Public Health and Preventative Medicine at a Monash Campus