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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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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 4 days 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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, leave replacement position in the Faculty of Engineering Workshop (https://www.mcgill.ca/engineering/faculty-staff/services-resources/faculty-workshop-services ). Position Summary: Under the direction
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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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and revise existing IMAGE machine‑learning components to optimize efficiency, scalability, and quality of results. Implement conversions of existing non‑LLM components to LLM‑based approaches where
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 10 hours ago
, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area: Communication, Culture
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machine learning with single-cell genomics, spatial omics, and systems biology, supported by strong collaborations across UBC and internationally. Project Recent advances in single-cell and spatial omics
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on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day. The Department of Electrical and Computer Engineering has
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that incorporate artificial intelligence and machine learning or climate change and human health are of particular interest. BWF believes that a diverse scientific workforce is essential to the process and
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning