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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
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the Quantitative Radiomolecular Imaging & Therapy lab (Qurit.ca) under the guidance of Drs. Arman Rahmim and Carlos Uribe. The fellow will work in collaboration with researchers, clinicians and imaging experts from
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. Successful applicants will work together as part of an international team of experts at four sites to apply cutting-edge approaches in high-resolution, single-molecule imaging; single-cell Ribo-seq and spatial
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responsibility is to explore innovative machine learning strategies for analyzing patients existing OCT and OCT-A images in Saskatchewan Optometry and Ophthalmology clinics as well as internationally available
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: Cellular and Molecular Medicine Description: Interested in Neural Stem Cells (NSCs) physiology and function? Want to monitor NSCs activation and division using in vivo live imaging approaches in behaving
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combining chronic in vivo imaging (two-photon microscopy, fiber photometry, GRIN lens imaging) with genetic and molecular approaches to dissect how cell type- and projection-specific plasticity orchestrate
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amyotrophic lateral sclerosis (ALS). Projects will involve gut microbiota manipulation and in vivo multiphoton imaging of the brain using animal models of ALS. The desired candidate will have experience in
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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-density electrophysiological recording systems, two-photon imaging, optogenetics, transgenic mouse lines for targeting specific neuronal subtypes, and behavioral rigs. We strongly encourage candidates
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 months ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using