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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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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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compact objects can be dug out of noisy time series because we understand what the signal should look like, and can therefore use simple algorithms based on matched-filter statistics. Detecting the
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compact objects can be dug out of noisy time series because we understand what the signal should look like, and can therefore use simple algorithms based on matched-filter statistics. Detecting the
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a research group consisting of a researcher at ANU, as well as the project leader, a postdoc and a PhD candidate at the University of Oslo (UiO) in Norway. There will be opportunities for a research
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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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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