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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
Health and the IWK Health Centre in Halifax. The successful candidate will have an opportunity to be part of the Big Data Analytics, AI & Machine Learning research cluster in Computer Science, and the
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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in the LKSIoV, and assist investigators in the development of large-scale LKSIoV projects (including research infrastructure and core facilities). 6. Develop and oversee career, educational, and
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of Ottawa, 451 Smyth Road, Ottawa, Ontario, K1H 8M5. Contact information: Dr. Alain Stintzi, Director of the School of Pharmaceutical Sciences, Faculty of Medicine, Ottawa, Ontario, K1H 8M5; astintzi
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impact and cutting-edge research across all Departmental research nodes (Fundamental Sciences; Big Data/ICES; Surgical Education; and Quality Improvement/Clinical outcomes). The Division of Urology
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine
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Posted: May 29, 2025 Tier 2 Canada Research Chair Faculty Position in Supercomputing and High-Performance Computing Department of Electrical and Computer Engineering Queen’s University at Kingston
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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scientific journals, success in obtaining funding from public and private sources, and prior leadership roles within large, interdisciplinary projects. Understand and personally champion equity, diversity and