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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Fellow (Clinical Research), Physical Function, Body Composition, and Cancer Department Campbell Laboratory | Department
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www.icord.org for more information. Additional information about Dr. Krassioukov‘s laboratory can be found at: http://icord.org/researchers/dr-andrei-krassioukov/. Work Performed: The postdoctoral fellows
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Fellowship in Computational Neuroscience and Multimodal AI Department Research | Tang | Michael Smith Laboratories | Faculty
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Lab, Montreal Neurological Institute (The Neuro), McGill University https://www.couturierlab.com About the Project The Couturier Lab is seeking an enthusiastic and driven Postdoctoral Fellow to
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. QUALIFICATIONS Successful applicants will have: PhD in Biomedical Engineering, Ultrasonics, Medical Imaging, Applied Physics, or related field Experience with imbedded hardware, signal processing, and programming
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candidate will be expected to contribute to both the teaching and research mission of the School and Western University in areas such as neurophysiology, neuropharmacology, or medical imaging. Applicants must
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
27 Jan 2026 Job Information Organisation/Company The University of British Columbia (UBC) Research Field Biological sciences » Biological engineering Medical sciences Researcher Profile Recognised
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER) Textual and Voice data Apply supervised, unsupervised, and self-supervised learning methods. Develop