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. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects
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for an exception to this work arrangement. To learn more, please contact the hiring team, using the contact information below. While the official location of work for this position will be an NRC facility within
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writing. The names and contact information of at least two referees must also be provided. A review of applications will begin on January 9, 2026, and continue until the position is filled. For more
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. Education Ph.D. in Bioengineering, Neuroscience, Cellular and Molecular Medicine, Biophysics or a closely related field. For information on certificates and diplomas issued abroad, please see Degree
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managing cardiovascular disease by integrating genomic and -omic data, echocardiographic imaging, and clinical information. This position will support the MOSAIC Study, a newly funded, multi-site provincial
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invited to visit the NRC website for additional information and submit an application online. The deadline to apply is December 19th, 2025. Successful fellows may start their award between March 2026 and
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) into the technical architecture and design choices of AI systems, particularly as they relate to data representation, ethical AI frameworks, and beneficial applications. Collaboration and Coordination: Working closely
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generating unbiased, systematic data can give new and unexpected insights into biology. That has been at the core of our work ranging from genome-scale RNAi screens to systematic mapping of genetic
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addition PDFs will be allocated a travel fund to support their work. Project title Bridging the Gap: Evolving Data-Driven Digital Twins for Automated Composite Processing The role While composite structures
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Primary Purpose: Establishing, generating and measuring data for understanding root systems for plant breeding programs in several screening systems. They will have proven experience both in the lab