138 parallel-and-distributed-computing-"Computer-Vision-Center" PhD positions at Monash University
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computing strategies, this project focuses on deploying ML models on real-world distributed infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g
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students a chance to explore cutting-edge concepts in AI-driven infrastructure management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
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Primary supervisor David Taniar Research area Databases and Distributed Systems Are you interested in applying your AI/DL knowledge to the medical domain? This project focuses on the use of AI in
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angle, this project aims to build self-aware neural networks that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing
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angle, this project aims to build self-aware neural networks that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing
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Primary supervisor Zhaolin Chen Research area Data Science and Artificial Intelligence Machine learning has recently made significant progress for medical imaging applications including image
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at Australian National Research Agency - CSIRO Data61; the distributed security systems group of Data61 will provide support and co-supervision; AI-focused course work and keynotes delivered by
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based on Pre-Computation", IEEE Transactions on Dependable and Secure Computing 2019 #digitalhealth Required knowledge Preferable: Knowledge of either cryptography or ML (having knowledge of both
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based on Pre-Computation", IEEE Transactions on Dependable and Secure Computing 2019 #digitalhealth Required knowledge Preferable: Knowledge of either cryptography or ML (having knowledge of both