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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
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response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical
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-Herzberg has a rare combination of staff involved in astronomy research, instrumentation design and development, engineering, data science and observatory support. Our fellowships are intended to leverage
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engagement, and educational activities to explore how modern information and communication technologies (e.g. mobile and web-based applications, sensors, wearables, AI/ML etc.) can improve health care. Digital
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reviews, organizing project advisory team meetings, collecting data and conducting data analyses, drafting manuscripts and technical reports, and delivering conference presentations. In addition
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. Vancouver offers a vibrant research community and a high quality of life. Candidate: We are seeking a postdoctoral fellow with strong experience in electrophysiology/biophysics and relevant data and
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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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mission: concept, scientific objectives and data products. Bull. Amer. Meteor. Soc., BAMS-D-23-0309.1, https://doi.org/10.1175/BAMS-D-23-0309.1, in press. The HAWC Science Development Team (SDT) is jointly
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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