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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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developing robust and feasible mathematical models for differential privacy by investigating the data dynamics (IID and Non-IID) of distributed machine learning. Besides, trustworthiness is another major
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Industry PhD Program terms and conditions. Students will receive a standard PhD on completion. The project aims to discover and optimise opportunities for net positive impact in workwear value chains
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via RMIT University application portal. Apply via RMIT University application portal. Potential candidates must have a good hold of distributed software systems, machine learning and cybersecurity
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treatment earlier as well, resulting in increased survival. The value of the Scholarship is equivalent to an RMIT full Scholarship This Scholarship will be available for 3.5 years. The value
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As a means to address unsustainable resource consumption and waste generation in the fashion and textiles industry, the transition to a Circular Economy (CE) has become pivotal in Australia
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-disciplinary study, we will correlate inflammatory status and epigenetic monocyte programming, with depression in young and elderly, and male and female volunteers. The value of the Scholarship is equivalent
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From smart cities, data-driven health and social services, to digital economy, safety and security and digital government, Data61 create data you can trust. Data61 PhD Scholarships and Data61 Top-Up
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open. Applications are now open. 1 November 2024. 1 November 2024. 1 (One). 1 (One). Standard RMIT PhD enrolment requirement. Open to domestic and international students. Standard RMIT PhD enrolment
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previous interactions (e.g., information browsing history). Though recent research and industry practices have seen various privacy mechanisms, the degree of customizability is far from satisfactory as all