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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 2 days ago
program in foundational mathematics and computer science, with concentrations in cryptology and machine learning research. Job Summary TIMC is seeking highly qualified researchers to contribute
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This research project, “Sensor-Free Machine Learning for Physiological Correction of Brain Functional Imaging: A Lifespan Pilot Study,” investigates how machine learning can be used to improve
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
team in the AI in Medicine Lab (www.aimlab.ca ). This position is based in the School of Biomedical Engineering. The successful candidate will work in the AI in Medicine Lab, applying machine learning
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talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques. The ideal candidate will play a crucial role in designing
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world