77 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in canada
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lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer
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(macro). Advances in cutting-edge technologies such as Machine Learning, Natural Language Processing, and Generative Artificial Intelligence have paved the way to exciting opportunities to transform health
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 9 days ago
assignments. Access to a computer (no tablet/iPad/phone) with working internet to run Microsoft Teams for online meetings and instruction is required. Clinical Instructors will report to the instructor
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opportunities for students, staff, faculty and community members across the three campuses. In achieving this vision, the Faculty is guided by values of integrity, respect, equity and diversity https
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2023, 2024 and 2025, and a National Capital Region Top Employer for 10 consecutive years, Carleton University is one of Canada’s most resourceful and productive hubs of learning and research, fuelling a
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Canada by two weeks before the start date. International applicants should assess work-permit and visa timelines at https://www.canada.ca/en/immigration-refugees-citizenship/services/application/check
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analyses using advanced scientific tools though an easy to use interface. More information about CBRAIN can be found at https://cbrain.ca and https://github.com/aces/cbrain . Reporting to the Director
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About the Opportunity Northeastern University’s College of Professional Studies invites applicants for a part-time faculty position to teach in the Master of Professional Studies Analytics, located
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on campus and online in more than 90 programs. About the Opportunity: Northeastern University’s College of Professional Studies invites applicants for a part-time faculty position to teach Applied Machine
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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