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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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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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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
& Medicine. This is an exceptional opportunity for a talented and ambitious researcher to build an independent, high-impact research program at the intersection of machine learning and healthcare
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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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of memory, ageing, and the effect of Alzheimer’s Disease risk factors on midlife brain function and cognition. The applicant should be interested in applying multivariate and machine learning neuroimaging
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that attracting and sustaining a 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