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consideration will be an exploration of how the terms "graphic novel," "comic book," and "popular culture" affect perceptions of the genre. How meaning is approached and understood when text and images
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transformational shift in understanding of the ecological, cultural, and social benefits, in addition to costs, of fire. It encompasses a paradigm shift toward restoration of fire as a vital ecosystem process and
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could result in a tarnished program and university image. Supervision Received This position reports directly to the Senior Manager, Programs & Operation and Senior Manager, Capital Projects & Building
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, and people from minoritized gender identity groups, and thus pursuant to Section 42 of the BC Human Rights code, UBC is currently restricted in the recruitment, selection, and nomination of CRCs
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discussions. Communicate with scientists to optimize imaging techniques for their research projects. Take charge of designing, coding, testing, and maintaining acquisition sequences that are critical to BIC
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
methods focused on enhancing the visual quality of Cone-Beam Computed Tomography (CBCT) and other medical imaging modalities, creating advanced compression techniques for efficient storage, designing high
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engineering or computer science - Coding in python, medical imaging models, AI foundation models - 2-4 years experience in similar field - strong foundation in deep learning is essential - Strong analytic and
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disabilities, Indigenous people, racialized people, women, and people from minoritized gender identity groups, and thus pursuant to Section 42 of the BC Human Rights code, UBC is currently restricted in
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experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve