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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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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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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 8 hours ago
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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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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requires a substantial amount of lifting, moving, and cleaning of equipment/work area. Subject to some unpleasant odours, dress code, and traffic pattern restrictions. Typical Duties/Accountabilities
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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
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imaging. This position entails performing research and analysis, conducting analyses, assisting researchers and principal investigator in reviewing documents, and assisting in developing funding
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, experienced, and dedicated software developer to play a key role in maintaining and further developing an imaging database for the collection of MRI data. There will be opportunities to learn and participate in
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. The Leslie Lab at UBC (https://leslielab.msl.ubc.ca/ ) is pioneering single-molecule and single-nanoparticle imaging techniques using custom optical microscopy setups, resulting in new insights for drug
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in