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Field
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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Intervention invites applications for a two‑year postdoctoral fellowship within the project AI‑Driven Medical Imaging. The position is expected to start on 1 September 2026 or as agreed. The fellowship is funded
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Postdoctoral Associate- Medical Imaging Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Physics or Engineering, e.g. Medical Physics
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Postdoctoral Associate- Medical Imaging Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Physics or Engineering, e.g. Medical Physics
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Contribute to high impact scientific and clinical projects in the rapidly growing research field of AI in medical imaging and cardiac mapping Located at South Eveleigh in the Faculty of Medicine and
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of myocardial fibrosis using 68Ga-FAPI-04 PET/CT (Protein Positron Emission Tomography associated with Computed Tomography using Gallium-68-labeled Fibroblast Activation Inhibitor), integrating multimodal imaging
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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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motivated to advance trustworthy artificial intelligence in medical imaging? In this postdoctoral position, you will work on explainable AI and foundation models for CT imaging, combining methodological
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and reliable quantification in theragnostic studies, strengthening the translational relevance of imaging data. Close collaboration with medical physicists within the unit will support quantitative
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen