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, developing and applying AI technology to large medical images and genetic data for understanding brain development and aging, and precision psychiatry. In the past years, the laboratory has conducted various
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(XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and interpret complex 2D and 3D datasets. Working closely with the research lead and an
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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(for Research Engineer) with expertise in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Robotics, or a closely related field. Experience in developing, training, validating and
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of Psychiatry at the University of British Columbia invites applications for a Postdoctoral Research Fellow with expertise in human brain imaging and genomics. The position is available for an initial term of two
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literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
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discipline Experience or knowledge in imaging systems, computer vision, or related technical areas Strong analytical, problem-solving, and communication skills Ability to work independently as well as in a
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, including genomic, transcriptomic, epigenomic, proteomic, metabolomic, and circulating biomarker data derived from patient tissues and liquid biopsies. Our goal is to characterize the molecular processes
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, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply computer vision
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her team with the NHMRC funded Synergy grant. The Synergy Grant aims "to carry out world-leading cross-disciplinary research integrating health literacy with health AI technology development and