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engineer will contribute to the development, optimization, and operation of advanced microscopy devices, notably High-speed AFM and AFM-IR (atomic force microscopy coupled with infrared spectroscopy) and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 8 hours ago
image processing, compositing, seamless collage, composition, text design, and quality control techniques for printing and production using Adobe Creative Cloud software on Apple computers. No prior
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. This role combines applied data science with real industrial sensor data. You will prototype, validate, and harden data processing pipelines and AI models in close collaboration with engineers and researchers
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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: Selecting appropriate ultrasound equipment and ancillary equipment required by individual echo study. Set up procedure room. Assessment of echo orders to identify specific pathology requirements in imaging
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of microscopy images – into organized, analyzable datasets that support the completion of approximately 25 scholarly papers. This position is ideal for a student from an engineering or computer science background
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to patients, following procedure protocols, injecting radioactive isotopes, acquiring images, processing images, and reviewing images for accuracy. The position will require occasional weekend coverage. Student
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following established protocols, while ensuring patient safety, comfort, and confidentiality. Review patient histories and MRI safety questionnaires to confirm procedure suitability and compliance with HIPAA
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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including