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physics, statistical methodology, health economics, modelling, and health behaviour. The academic department is based in the Rayne building University Road, with a secondary office in the Imaging Division
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& Responsibilities: Develop advanced deep learning methods for radiology or pathology medical imaging Integrate imaging data with EHR, clinical notes, or genomic data Conduct research on segmentation, classification
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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: The Computed Tomography division encompasses stationary CT equipment located in University Hospital, East Hospital, James Cancer Hospital and OSUWMC Ambulatory Imaging locations. Position Summary The CT
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The MR Division encompasses MR equipment located in University Hospital, East Hospital, James Cancer Hospital, and OSUWMC Ambulatory Imaging locations. The MR Division offers MR imaging services
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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
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variational autoencoders (VQ-VAE) or similar models Knowledge of MRI physics and Bloch equation simulations Experience with medical image segmentation or classification tasks Publications in machine learning
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for the division, under the direction of the Imaging Manager. Minimum Qualifications 2-Year College Degree. A.R.R.T. Radiography registered with current ODH licensure. Previous interventional radiology experience is
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with a focus in advanced cardiac imaging, cardio-oncology, cardiac amyloid or cardiac intensive care medicine. Responsibilities will include patient care, research, and teaching (medical students
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. Machine learning will assist in artifact correction, segmentation, and material classification. By combining experimental imaging, simulation, and data-driven interpretation, this approach will deliver high