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analyses, and operating a quadrupole inductively coupled mass spectrometer (ICP-MS). The postdoctoral researcher will also develop their own research program, with research support available for analytical
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Fellow in Artificial Intelligence and Indigenous Knowledge for its research “pod” in Toronto, Canada. Abundant Intelligences conceptualizes, designs, develops, and deploys Artificial Intelligence based
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-ischemic encephalopathy. Our lab utilizes advanced magnetic resonance (MR) techniques to study how early life brain injury affects brain development in critically ill newborns. This is a one-year
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brain development in critically ill newborns. This is a one-year Postdoctoral Fellowship. Organizational Status: The successful candidate will report directly to Dr. Thiviya Selvanathan, the principal
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in children with neonatal hypoxic-ischemic encephalopathy. Our lab utilizes advanced magnetic resonance (MR) techniques to study how early life brain injury affects brain development in critically ill
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motivated and skilled postdoctoral fellow to join a project focused on developing statistical models to understand the spatiotemporal distribution of marine mammals in the Arctic. The project will help
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barriers and enablers for cVPP adoption across diverse BC communities (including low-income, vulnerable, and Indigenous groups); (2) develop a technically feasible BC Hydro–to–cVPP coordination framework
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 11 days ago
, reinforcement learning, diffusion, and flow matching, guided by practical considerations of high-throughput chemical synthesis. In addition to algorithm development, the candidate will have the opportunity
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the Canadian Pediatric Cancer Consortium (otherwise called ACCESS), we are seeking highly skilled and passionate Postdoctoral Fellows. You will develop and lead a research project focusing on high-grade
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: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience