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Current federated learning architectures in mobile healthcare are limited to a centralised model without considering the full continuum of mobile-edge-cloud. Additionally, to support different data
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applications. You’ll combine strong software engineering capability with a user-centred mindset, leveraging modern technologies such as React, TypeScript, Node.js and cloud platforms including GCP/Firebase and
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hybrid cloud environments. You will drive the modernisation of Monash’s Linux capability through automation, Infrastructure as Code, observability, platform engineering and AI-enabled operations, while
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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work alongside leading researchers, industry partners and stakeholders to accelerate the translation of breakthrough ideas into secure, cloud-native products. You'll combine hands-on technical leadership
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model, uplift service delivery, and ensure the function is positioned to respond effectively to an evolving threat landscape spanning cloud, identity, SaaS, supply chain, and AI-enabled risks. You will
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the Monash campus network Drive modernisation programs, including hybrid cloud integration and data centre optimisation initiatives What You'll Bring Demonstrated leadership of enterprise-scale network
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in galaxies: how gas and dust form molecular clouds, how stars are born from these environments, and how stellar evolution and feedback return material back to the interstellar medium. Stars are born
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, minimizing energy costs and environmental impact. This offers opportunities to work on practical applications in sustainability for cloud and edge systems. Privacy-Enhancing Resource Management: Example: A
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-scale AI model training, resource orchestration, cloud/edge computing, high-performance computing, or energy-efficient computing. Monash University strongly advocates diversity, equality, fairness and