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Skip to content Examining system-level impact of Healthcare AI PhD Scholarship Future student scholarship Examine the system-level impact of health AI, using human factors and systems approaches to
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
Environment & Society Understanding the potential for achieving multiple benefits through water system operations The Murray-Darling Basin is a large and complex river system that has experienced decades of
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focuses on developing ML models to predict resource needs, improving load distribution to avoid system bottlenecks, and ensuring low-latency performance. Energy-Efficient Operations with Carbon-Aware
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
Generation Satellite Communication project in partnership with ANU. The PhD candidate will contribute to the projects’ objectives by researching into new wireless communication schemes and signal processing
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Primary supervisor Muhammed Esgin Research area Cybersecurity Privacy-Enhancing Technologies (PETs) are a set of cryptographic tools that allow information processing in a privacy-respecting manner
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edge data processing methods for mobile MRI scanners and testing in clinical enviroment. Required knowledge Excellent programming, image processing, optimisation background Affinity to work across
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for Markov Decision Processes. The application areas are different problems in text processing, including (bu not limited to) machine translation and summarisation. Our previous work in this area
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persuasion. The project will then design a defensive framework that can measure the psychological profiling risk of a user’s online footprint. For example, the system may analyse whether a set of posts