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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 1 month ago
3 Sep 2025 Job Information Organisation/Company Koziarski Lab - The Hospital for Sick Children Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc
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Research Assistant 2 position is based in Prof. Narges Armanfard's research lab in the department of Electrical and Computer Engineering. The research project focuses on data-driven Atmospheric Plasma Spray
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findings and contribute to publications or presentations. Qualifications Master’s degree in Engineering, Computer Science, Data Science, or a related field. Strong understanding of machine learning concepts
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skills (e.g., MATLAB, C++, Python). Experience with electronic circuits, PCB design, and associated CAD tools. Qualifications: 3rd year or 4th year students in Computer Engineering, Electrical Engineering
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. Required Qualifications Undergraduate degree in Engineering, Computer Science, or related field plus approximately one year’s relevant experience (or equivalent combination of training and experience
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Areas: Atmospheric Sciences Physics / Artificial Intelligence , Astronomy , Astronomy and Astrophysics , Astroparticle Physics , astrophysics , Astrophysics (astro-ph) , Astrophysics Computational
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investment program in the Canada Research Training Awards Suite (CRTAS) administered by the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC
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The Postdoctoral Fellowship program provides support for highly qualified postdoctoral fellows to engage in research that is in an area of clear relevance to arthritis and Arthritis Society Canada’s
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Position Details Position Information Position Title Research Assistant I Department/Unit Engineering - Dal AC Location Truro, Nova Scotia, Canada Posting Number S192-25 Employee Group NSGEU Local
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of Communications Sciences and Disorders Position Summary: Assist in conducting the NIH-funded research project on digital health and computational medicine Document and report research progress Attend