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climate change, more prevalent weather extremes, and emerging disease threats. Designing transformative computer vision and machine learning systems to boost efficiencies and design resilient crops is
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/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Sessional Lecturer - MMF2030H1F: Machine Learning (Section
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 41 minutes 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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Sharf. This role will contribute to the development of advanced artificial intelligence technologies that support collaborative autonomy systems, with a focus on machine learning, intelligent
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Professional Studies in Analytics is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential
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emphasis on fMRI-based studies, network neuroscience, and the application of statistical machine learning and AI approaches to neuroimaging data. This includes developing research/project ideas
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artificial intelligence, machine learning and scientific computing. The successful candidate will work under the direct supervision of the Principal Investigator, Prof. Sophia Frangou, President’s Chair in
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Number and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific
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or Accountabilities: Assist with the preparation, organization, cleaning, and management of speech and language datasets. Support the development, testing, and refinement of machine learning and
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learning; probabilistic approaches in machine learning; mathematical foundations of machine learning. Previous experience as an instructor at the university-level is required. Related work experience