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conditions for a rewarding career. The Eddy Lab, Department of Radiology, Faculty of Medicine is seeking a full-time Postdoctoral Fellow to develop novel 129Xe magnetic resonance imaging (MRI) acquisition
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Academic Job Category Faculty Bargaining Job Title Canada Impact+ Emerging Leader in Translational Quantitative Biomedical Imaging Department Faculty and Leadership | Faculty of Pharmaceutical
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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category: Contrat doctoral to be discussed PHD title: Doctorat en Biologie Cellulaire et Moléculaire PHD Country: Canada Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/139943
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Associate Professor/Professor -JDMI UHN Chair in Medical Imaging and AI at the University of Toronto
JDMI & UHN, please visit: https://www.uhn.ca/MedicalImaging For more information about the Department of Medical Imaging at the University of Toronto, please visit: https://medical-imaging.utoronto.ca
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or Associate Professor (Clinical) specializing in Adult Epilepsy. We welcome applications from outstanding clinical epileptologists (MD) and clinician-scientists (MD/PhD). The professorial rank will be
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 4 hours ago
genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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systems and the applications of physics in life sciences. Topics may include physical processes inside living cells and systems, medical physics and imaging. Number of Positions: 1 Estimated course
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER