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Skip to content Intelligent edge computing for adaptive demand response management: a distributed multi-agent approach (CSIRO Industry PhD Scholarship) Future student scholarship The CSIRO Industry
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SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) . Group members are enrolled in the national programs of SciLifeLab and DDLS, as well as the Wallenberg Centre for Molecular
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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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education, pursuing their own research project during the mobility period, parallel to joining a research group and having a host supervisor at Lund University. For information about eligibility and selection
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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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Research Fellow in Event-Triggered Cloud Computing A cross-disciplinary team of researchers from the University of Southampton, Newcastle University, and Imperial College London are working together
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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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involve a lot of experiments using DL/AI methods. We will use the Monash High Performance Computing platform (MASSIVE) to do the experiments. Required knowledge You must have experience in Deep Learning, and have strong programming skills. Learn more about minimum entry requirements .
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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