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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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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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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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prototype and validate your research directly in the field. Integration into a dynamic, multidisciplinary team (engineers, computer scientists, animal scientists, veterinarians). Collaborations with
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detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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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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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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: 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