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engineering and data analytics projects. Key responsibilities include: Developing algorithms and performing advanced numerical analyses. Designing and implementing data collection, analysis, and condition
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. Proficiency in computer-based applications is essential for processing stakeholder requirements and overseeing procurement, including logistics and transport. The role also supports meetings by coordinating
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projects. Lead and develop a high-performing, collaborative team. Innovate and improve digitisation processes for maximum efficiency and quality. Ensure user-focussed services are adapted based on feedback
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for enabling the Monash Cyber Operation teams protecting our networks, systems, and data using industry-leading technology to combat advanced attackers through the design, engineering, deployment, and
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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gaming coaching reporting tools. The recruited PhD student will perform natural language processing and machine learning research into AI-augmented coaching to provide a pre-coaching session AI-based
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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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Performance Computing platform (MASSIVE) to do the experiments.
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", ICML 2021 - "High Performance Logistic Regression for Privacy-Preserving Genome Analysis", BMC Medical Genomics 2021 - "Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party
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]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach Poorya Zaremoodi