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information about the School of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . The computational cancer biology and pathology artificial intelligence team (AI in Medicine Lab) at the University
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high-resolution imaging. Characterize tissue- and cell-specific RNA dynamics to inform the design of optimized RNA constructs. Contribute to the preclinical development of local gene-editing strategies
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the continuum from discovery to first-in-human trials. Successful candidates will join recent faculty hires across multiple departments with expertise in bioinformatics, biotherapeutics, imaging, inflammation
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the direction of senior technicians and clinicians, assist with diagnostic and therapeutic procedures (including special imaging) on animals presented to or in the care of the Large Animal Clinic and Field
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in the area of AI-driven Medical Imaging. Conditional upon a successful CRC application and subject to final budgetary approval, the successful candidate will be appointed to a tenure-track position at
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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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Nature Careers | St John s Northwest Newfoundland Labrador Provincial Government, Newfoundland and Labrador | Canada | about 2 months ago
access to a new animal resource center and core facilities that include state-of-the-art equipment for flow cytometry, cellular bioanalysis, multiphoton, confocal, and super resolution imaging, as
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advanced imaging, the project will map how ion transport and micro-fluid dynamics couple to interfacial energetics, explaining field-responsive changes that remain hidden in equilibrium-centric models
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course: LAS 400 H1 S: Topics in Latin American Studies – Images that Speak: Visual Culture, Power and Representation in Latin America For the Winter 2026 offering, LAS 400 H1 S is an interdisciplinary
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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