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studies using biochemical analysis, imaging tools and transcriptomic approaches. Compounds that exhibit immunomodulatory and/or antioxidant effects will be further explored to validate their effectiveness
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Experience in computational cardiovascular biomechanics Experience in medical image segmentation Experience in Python programming or a similar programming language Experience with machine learning models Good
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Division of Cardiology to create 3D printing models for cardiovascular disease, nurturing expertise for the bio-printing hub of the new Clinical Support and Research Centre (https://www.providenceresearch.ca
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Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examination approx. 1-2 months Review Process approx. 3-4 months Conferral Nomination documents Laudation
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nomination Continue nomination The selection procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examinationapprox. 1-2 months Review Processapprox
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procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examinationapprox. 1-2 months Review Processapprox. 3-4 months Conferral Nomination documents
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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications
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proteomics, imaging mass cytometry) to study the tumor microenvironment. This position offers a unique opportunity to join a world-class team dedicated to understanding and advancing the field of cancer
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pathologic processes. Challenging aspects include image segmentation of the lung, lobes, airways, and vascular tree; extending our tissue characterization software to include 3D anatomic features as