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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
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: The Magnetic Resonance Imaging (MRI) Technology Developer will play a pivotal role in shaping and supporting the MRI research platform and program at the McConnell Brain Imaging Centre (BIC). This includes
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experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve
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, operational, and at times hands-on technical support to assist with multimodality imaging projects (e.g., PET, SPECT, MRI, ultrasound, optical fluorescence, SWIR, DXA, X-ray) from study design through data
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economies and societies. By contrast, each day, scanners, smartphones, and online platforms capture text, images, location, payments, searches, and other real-time, detailed data. This data explosion
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hands-on experience applying deep learning techniques to medical image analysis. Ideally, the candidate will also have experience working with large-scale datasets and possess solid software engineering
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the development, organization and leading of activities that encourage research and other interactions between TSI members at faculty, postdoc and graduate student levels. Organize TSI’s seminar series, workshops
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Imaging Hospital Affiliation: Unity Health Toronto - St. Michael's Campus: St. George (Downtown Toronto) Description: The Department of Medical Imaging at St. Michael’s Hospital (SMH) and the University
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microscopic analyses of histological section series and image analysis post-image acquisition. If the opportunity arises, he/she will use their experience in microscopy to help resolve conceptual problems in
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Imaging Hospital Affiliation: Unity Health Toronto - St. Michael's Campus: St. George (Downtown Toronto) Description: The multidisciplinary Neurovascular (NV) Practice and the Department of Medical Imaging