151 machine-learning "https:" "https:" "https:" "CNRS" Postdoctoral positions in Canada
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 5 hours 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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). Postdoctoral Fellow, Multimodal Machine Learning Role Overview The Postdoctoral Fellow will develop techniques to build a foundation model of human neurotypes by integrating cognitive task performance
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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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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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Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and
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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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mathematics, computer science, and engineering. Proposals that include deep or machine learning applications of artificial intelligence are particularly encouraged. Special consideration will also be
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making up to 13 awards in the 2024-2024 cycle. Special Considerations Proposals that incorporate artificial intelligence and machine learning or climate change and human health are of particular
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pipelines to test measurement quality, reliability, and validity. Partner with the machine learning team to define interpretable features and target evaluations for multimodal models. Qualifications: PhD
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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