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. Additional Information: Responsibilities: Positions and sets up imaging machines (e.g. x-ray, fluoroscopy) to acquire diagnostic-quality images according to exam specifications and safety protocols. Escorts
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crucial research in the advancements of imaging and machine learning. This position will also conduct translational research, which will seek to apply computer vision and artificial intelligence
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alignment to create system-level composite images. Build and train advanced machine learning models to autonomously detect various PV defects such as hotspots, microcracks. Execute the necessary data
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Group and the Toronto Intelligent Systems Laboratory. These two research labs conduct cutting-edge research in computational imaging, computer vision, robotics, and machine learning. Their work spans
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for machining along the entire process chain - from process design and process simulation to real
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning
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applying machine learning techniques, and working closely with multidisciplinary teams to extract biologically and clinically meaningful insights into aging and neurodegenerative diseases. Required
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of practice parameters, imaging techniques, cross-sectional anatomy, principles of electromagnetic and computer sciences, patient care/positioning, and MR safety requirements. Skills / Knowledge / Abilities MRI
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.Performs Diagnostic Images a. Corroborates the patient's clinical history with procedure, assuring information is documented and the exam ordered following patient identification guidelines. b. Utilizes
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, imaging, and clinical data) to identify trends, biomarkers, and insights related to aging and neurological health. ● Apply advanced statistical and machine learning techniques (e.g., predictive modeling