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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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proficiency in data, sensors, and operational strategies. In parallel, MDBA, the principal governmental water agency, assumes responsibility for integrated and sustainable basin management. Their
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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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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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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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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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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