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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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The University of Adelaide and leading orthopaedic device manufacturer Austofix invite applications for two PhD projects, exploring Proximal Femoral Nailing for hip fracture patients About Austofix
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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Fatigue My Partner in Care Medical Toggle Sub Navigation Complications of IBD Medication for IBD Surgery Remission Colonoscopy Intestinal ultrasound for IBD Gut Microbiome and IBD Vaccinations and IBD
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hands-on experience with Python and ML libraries (PyTorch/TensorFlow) experience with signal/image processing or computer vision for video strong programming and data engineering skills Desirable
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with a new cutting-edge quantitative-trading company to push the frontiers of AI-aided decision-making in quantitative trading processes. As a PhD candidate you will: Design next-generation trading
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study flow dynamics relevant to reactor design using optical diagnosing methods, followed by image processing, which may include machine learning-based techniques. This suits Mechanical Engineering
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The Adelaide Graduate Research School (AGRS) and the Royal Geographical Society of South Australia are partnering to create three internship opportunities for University of Adelaide PhD students