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Note: This competition is currently closed. The next call is expected to launch in late 2025. For over four years, the University of St Andrews Global Fellowship Scheme has provided prestigious
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St. Thomas More College (STM) invites outstanding candidates who identify as Indigenous to apply for the Providence kanaweyihtâkosowin Chair in Indigenous Spirituality and Reconciliation
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 1 month 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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St. Thomas More College (STM), the Catholic liberal arts college federated with the University of Saskatchewan (USask) seeks a Casual (as required) Caretaker. Reporting to the Facility Supervisor
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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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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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St. Thomas More College (STM) is the Catholic liberal arts college federated with the University of Saskatchewan (USask). Located in beautiful Saskatoon, any USask student can select from over 220
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for an academic appointment at the rank of Assistant/Associate Professor, or Full Professor at the University of Toronto. St. Michael’s Hospital is a leading academic health science centre, fully affiliated with
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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