141 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"C.N.R" research jobs in Canada
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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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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
applications for this job through MathJobs.Org right now. Please apply at https://careers.cse-cst.gc.ca/en/careers/strategic-machine-learning-researcher-CA-228236-en/ . Contact: Adam Laderoute Email: Postal
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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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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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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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Primary Purpose: The Jane and Ron Graham Centre for Scholarship of Teaching and Learning (SoTL) is seeking a highly motivated and collaborative Postdoctoral Fellow to join our dynamic team
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degree in computer science 2 years of experience in machine learning research and development Strong background in generative AI Expertise in deep learning, generative AI, reinforcement learning
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Liquid Argon Calorimeter system. Use novel high-level synthesis approaches developed internally (based on functional programming abstractions), to optimize the implementation of machine learning models and
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diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and
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: Experienced in applying machine learning and data science tools (TensorFlow, PyTorch, pandas, NumPy, Scikit‑learn) to analyze and model complex atmospheric and environmental datasets. Proficient in multi