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infrastructure and operation funding by TMU, the successful candidate will join a rapidly growing ecosystem focused on Medical Imaging involving the network of Research Hospitals in Toronto as well as the newly
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complied with Availability outside of scheduled class time, to assist students in photographic and imaging techniques in the darkroom and film processing areas. Supervises darkrooms and maintains photography
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Casual Research Assistant 1 position is open at the Brain Imaging Centre of the Montreal Neurological Institute. The candidate will apply cutting-edge Immuno-Histo-Chemistry methods to label tissue samples
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science initiatives, ensuring data integrity and driving innovation in pediatric imaging data management practices. The Senior Computational Neuroimaging & Neuroinformatics Data Manager is a senior member
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and Events Assistant -Document processes and procedures for this position -Perform other duties as required Consequence of Error/Judgement The image and reputation of PIMS depends on their scientific
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auditing to ensure accurate and appropriate use of data. Perform backup and recovery on Database Management Systems (DBMS). Configure database parameters and design prototype logical data models, as
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. The first-flight of the HELIX payload consists of a 1 Tesla superconducting magnet, a drift chamber, a time-of-flight system, and an aerogel ring imaging Cherenkov counter. HELIX had a successful flight from
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neuroimaging, focusing on quality assurance or image processing. Familiarity with neuroimaging modalities and neuroimaging software (e.g., MINC tools, FSL, FreeSurfer, SPM). Strong understanding of neuroimaging
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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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: Ophthalmology and Visual Sciences Position Summary: Under the direction of the immediate supervisor, the incumbent will assist in a research project to image the eye. These functions are of moderate complexity