139 electric-machine-"https:" "https:" "https:" "https:" "https:" Fellowship positions in Canada
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scientific machine learning. More information about the department can be found at https://uwaterloo.ca/applied-mathematics/. Applications for these fellowships are through the website MathJobs.org
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 1 hour ago
POSTDOCTORAL FELLOW POSITION: Hybrid Scientific Machine Learning and Numerical Weather Prediction (Canadian Arctic) Department of Mathematics | Simon Fraser University (SFU) | Metro Vancouver, BC
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related disciplines, including clinical research, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc
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and rigor to drive their own research in the broad and multi-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The
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, Canada. Abundant Intelligences conceptualizes, designs, develops, and deploys Artificial Intelligence based on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is
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, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries
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Fellowship Description: Nomination to PIMS Postdoctoral Fellowships at the University of Manitoba The department of Mathematics (https://umanitoba.ca/science/mathematics) at the University of
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from July 1 - December 31, 2027. More information on the program will be posted here as it becomes available: https://www.fields.utoronto.ca/activities/27-28/GA-MP. The fellowships provide for a period
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from January 1 - June 30, 2028. More information on the program will be posted here as it becomes available: https://www.fields.utoronto.ca/activities/27-28/dynamics. The fellowships provide for a
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complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; laboratory-based biomarker discovery and validation using maternal and neonatal biospecimens