65 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship research jobs in Canada
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
/2025 Close Date Open Until Filled Yes Quick Link for Direct Access to Posting https://dal.peopleadmin.ca/postings/18126
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(thedonnellycentre.utoronto.ca ). Required Qualifications: We are looking for postdocs that have excellent molecular biology skills and/or a strong computational background including machine learning approaches. Candidates should
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cardiac precision medicine through artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and
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series, and organize an annual retreat for local universities (https://ecoevoretreat.wordpress.com/ ). Postdoctoral fellows funded by the Biodiversity Research Centre typically interact with several lab
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health care at the state level. Traveling around Northern California, Fellows meet with leaders in policy, advocacy, and health technology. They learn about the state’s policy development and
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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind
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learning frameworks, familiarity with MLOps practices, data governance for sensitive health data, and cloud environments such as AWS. Excellent communication, teamwork, and project management skills, with
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to an individual outside of the academic community, whose writing, research or public career are making a significant contribution to intellectual life in Canada. The incumbent is expected to teach one undergraduate
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is $27.05/hour. At UBC, we believe 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
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- $75,000 per annum. At UBC, we believe 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