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Field
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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National Imaging Facility based at the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term position for up to 5 years, at Academic Level E or Level D
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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image processing. The Research Officer will lead field expeditions to collect insects, primarily based in the mallee regions of Australia (particularly Western Australia) and forests in North America
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maritime heritage] [Image changes to show four crew members standing on the deck of the Investigator next to a multi-corer and text appears: Studying ocean processes and productivity] [Image changes to show
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-dedicated hybrid theatre with the opportunity to fully customize the operation of a clinical robotic imaging system. You will benefit from a strong mentoring environment as part of the interventional imaging
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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and will be able and actively participate in group analysis work and laboratory activities. You will also have knowledge of and be competent in the MS Office Suite, image analysis software, and data
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, including improved efficiency of sensors and image processing. The Research Officer will lead field expeditions to collect insects, primarily based in the mallee regions of Australia (particularly Western