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engineered to be adaptable and generalizable, supporting applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront
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Academic Job Category Faculty Non Bargaining Job Title Research Associate Department Nasiopoulos | Department of Electrical and Computer Engineering | Faculty of Applied Science (Panos Nasiopoulos
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to these specialized imaging tasks. Designing of advanced compression algorithms tailored specifically for medical imaging modalities. Minimum Requirements: Doctorate degree in Electrical and Computer Engineering An
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Improvement is responsible for developing and leading the strategic planning and overall management of process improvement, data analytics, and technology solution development functions, in alignment with
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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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will be responsible for the planning, coordination, and administrative management of preclinical studies conducted within SAIL and the CTB Technology Platforms. The incumbent will serve as the central
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not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high
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of out-of-autoclave (OOA) composite materials processing. Conducts engineering design for experiments to develop analytical and numerical models to characterize OOA composite material properties and
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, experienced, and dedicated software developer to play a key role in maintaining and further developing an imaging database for the collection of MRI data. There will be opportunities to learn and participate in
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imaging research experience with a background in applying advanced techniques and methodologies. Basic computer vision and image processing techniques with experience in real-world applications is preferred.