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servers Perform quantitative image analysis using established analysis pipelines Opportunity for further work such as participating directly in data analysis, development of image processing tools and other
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The McGill University Department of Diagnostic Radiology, Division of Diagnostic Imaging—Musculoskeletal Imaging in the Faculty of Medicine and Health Sciences is inviting applications for a full-time position
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: Course Number and Title: VIS322H1S - The Constructed Image Course Description: Through research, concept development, as well as direct engagement with materials and processes, students will explore
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provide support in the planning of research projects, plan and execute staining protocols, perform microscopic analyses of histological section series and image analysis post-image acquisition
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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time or image processing, answer student e mails and questions, prepare labs, correct lab reports, help organize and invigilate mid-term exam and final exams. Qualifications: Priority will be given
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to provide laboratory demonstrations in-person in the anatomy laboratory using prosection, anatomical models, medical images and other media. UCA will also be asked to define and create new laboratory
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 days ago
: B.Sc. in Science Familiar with microscopes, digital imaging and image processing and analysis. Previous students from PHGH 560 would be ideal. Ability to assess written work and clearly express written
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The McGill University Department of Diagnostic Radiology, Division of Diagnostic Imaging – Neuroradiology is inviting applications for a full-time position as a board-certified radiologist at the rank
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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better