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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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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
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work under the supervision of Dr Maria Vera Ugalde. They will apply high-resolution imaging combined to study the spatiotemporal regulation of mRNAs. Responsibilities You will, Conduct independent
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dynamics in models of brain injury and neurodegeneration (amyotrophic lateral sclerosis / ALS and Alzheimer’s disease / AD). Projects will involve in vivo multiphoton imaging of glia, vascular, perivascular
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-on experience designing and building experiments Laser-based optical diagnostics such as OH PLIF and PIV High-speed imaging Image processing Matlab Strong oral and verbal communication skills Time management
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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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rewarding career. Job Summary The Research Assistant will work closely with the principal investigator Dr. Hee Yeon Im on functional magnetic resonance imaging (fMRI) to explore the function of the human
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of imaging techniques (confocal, super-resolution, two-photon microscopy), cell biological and biochemical tools as well as electrophysiology, and behavioural studies. Opportunity: The post-doctoral
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/ ). This position is pivotal to our CIHR-funded research on hippocampal-neocortical interactions essential for memory processes. The selected candidate will spearhead a project employing cutting-edge calcium imaging
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therapeutic targets for stroke. We use a host of techniques including but not limited to large-scale mesoscopic calcium imaging, optogenetics, gene targeting with viral vectors or transgenics, transcriptomics