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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 13 hours ago
research experience Demonstrated expertise in studying membrane proteins using modern molecular, cellular, and genetic approaches, such as gene editing, fluorescence imaging, protein biochemistry, and
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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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, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological
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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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: The Positron Emission Tomography (PET) Unit of the McConnell Brain Imaging Centre (BIC) at the MNI (McGill University) is looking to fill a full-time (40 hours/week) position. We are seeking to hire a Research
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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contact the OII directly for details on the affirmation processes: https://indigenous.uwo.ca/ . The policy can be viewed at: POLICY 1.58 - Affirming Declarations of Indigenous Citizenship or Membership
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sequencing, flow cytometry, imaging and computing infrastructure. More information on the Lange Laboratory can be found at https://langelab.med.ubc.ca/ . The Lab is part of the Canadian Pediatric Cancer