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and educational program delivery. Other Qualifying Skills and/or Abilities: Familiarity with research data collection methods and tools (e.g., surveys, interviews). Proficiency with Excel, Word, and
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proficiency in: Linux. git, remote computing, containerization technology. Ideally, candidates should have experience with Python, and knowledge in modern Data Science methods. Knowledge of neuroimaging
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 28 days ago
procedures of the University of Toronto or other related educational institutions. Excellent analytical and numerical skills. Proficient using analytical software/spreadsheets/data visualization tools. Good
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As of spring 2025, the Banting Postdoctoral Fellowships Program has concluded and is no longer accepting applications. As the most prestigious postdoctoral award in Canada, the Banting Postdoctoral
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Update July 10, 2025: NSERC is longer accepting applications for the NSERC Postdoctoral Fellowship program. Please refer to the Canada Postdoctoral Research Award program web page for information
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collaboration with laboratories computational biologists. Lead independent research projects and contribute to collaborative efforts within the lab. Present findings in manuscripts, conferences, and funding
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laboratories across the country. Participants in the IC Postdoc Program have achieved numerous significant accomplishments, including: More than 450 articles in peer-reviewed journals Published in prestigious
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Staff - Union Job Category CUPE 116 Job Profile CUPE 116 Salaried - Research Assistant /Technician 2 Job Title Research Assistant/Technician 2 Department Research | Werker & Language Science Program
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In the appointment of Research Assistant, your general duties and responsibilities will be: The Research Assistant will support a mixed-methods study that examines the barriers internationally
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore