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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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The Lancet Digital Health (IF=36.615), The British Medical Journal (IF=96.22), JAMA Neurology (IF=29.91), Nature Nanotechnology (IF=39.21), Brief in Bioinformatics (IF=11.62), Hypertension (IF=10.19
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scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation-graduates-programs), and
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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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Scheduling : Example: For non-urgent data processing, SmartScaleSys (S3) could prioritize tasks during off-peak hours when renewable energy sources are more available, reducing carbon emissions
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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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, 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
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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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behaviour. Natural language processing algorithms are utilized to examine vast amounts of textual data, identifying keywords, phrases, and sentiment that may indicate extremist views or intentions