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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team
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the market and various industrial partners. Contribute to workshops to present the results and the state of the art in the field to industrial partners and other stakeholders. Qualifications: A PhD degree in a
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progress updates for SSHRC Qualifications PhD (awarded within the last 5 years) in Entrepreneurship, Strategic Management, Organizational Studies, Information Science, or related field Demonstrated expertise
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of interventions for people with stroke or traumatic brain injury (e.g., RCTs), evaluating the implementation and feasibility of using technology in clinical practice, understanding the mechanisms of recovery and
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of using technology in clinical practice, understanding the mechanisms of recovery and changes in neurophysiology after novel rehabilitation intervention. The position is located at the Rehabilitation
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brain injury (e.g., RCTs), evaluating the implementation and feasibility of using technology in clinical practice, understanding the mechanisms of recovery and changes in neurophysiology after novel
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qualifications are desired or required: Completion of a PhD degree in the field of biomedical sciences. Previous experience of basic laboratory techniques, such as immunohistochemistry, western blot and cell
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Research Training Awards Suite (CRTAS) administered by the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Social Sciences and
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be used to evaluate the gene therapeutic effects both ex vivo and in vivo. QUALIFICATIONS: The following qualifications are desired or required: · Completion of a PhD degree in the field of biomedical
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA