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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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relationship with Vascular Surgery, Critical Care, Emergency Medicine, the Trauma program, and every other acute care hospital program. The role offers excellent compensation and opportunities for professional
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. Maintenance of records utilizing the PAC system; may assist with the supervision, instruction, and demonstration of skills to undergraduate veterinary and veterinary technology program students; and responsible
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Imaging Hospital Affiliation: Unity Health Toronto - St. Michael's Campus: St. George (Downtown Toronto) Description: The multidisciplinary Neurovascular (NV) Practice and the Department of Medical Imaging
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Nature Careers | Winnipeg Fort Garry NE University of Manitoba, Manitoba | Canada | about 14 hours ago
expected to establish an innovative research and training program that is capable of engaging in broad collaborations with colleagues from basic science, clinical departments, and members of CHRIM
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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in biomedical engineering and organ-chip technology. The position is being offered in the Division of Thoracic Surgery of the Department of Surgery and the Cancer Research Program at the RI-MUHC, with
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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.
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-molecule imaging, or nanoparticle characterization. Demonstrated expertise in quantitative fluorescence imaging and single-particle analysis. Proficiency in computational tools for image analysis (e.g
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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team