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Field
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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Interaction Causal Models and Inference Time Series Modelling Multimodal Data Integration and Modelling Image Recognition and Computer Vision Computational and Simulation Science Visualisation High-Performance
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, Electronic & Computer Engineering, Intelligent Robotics, and Medical Electronics. A key focus will be the development, marketing, management, and delivery of postgraduate taught programmes and new modules, including in
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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synchrotron powder diffraction (for crystalline component time-evolution) and laboratory and synchrotron computer tomography (for microstructure time-evolution, including carbonate-shrinkage). The diffraction
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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applicant's accessibility needs. If you require accommodation during the interview process, please contact Prof. Nahee Park at nahee.park@queensu.ca. Application Materials Required: Further Info: https
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. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is