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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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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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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
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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
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: [email protected].
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, testing, and operation. Required knowledge deep learning, natural language processing, software testing Learn more about minimum entry requirements .
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researchers. Required knowledge Excellent in image/signal processing, and optimisation. Excellent in coding and writing. Medical imaging experience is desirable but not compulsory. Strong