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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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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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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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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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-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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PhD Scholarship – Development of novel Radiotracers for the Fibrosis Detection - PhD scholarship available with an International Team Job No.: 648919 Location: The Alfred Centre Employment Type
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Status: Closed Applications open: 19/09/2025 Applications close: 19/10/2025 View printable version [.pdf] About this scholarship Description/Applicant information Forrest Research Foundation PhD
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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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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 aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can