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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 6 days ago
samples such as serum/plasma, biopsies and whole blood for analysis and large databases, which include clinical information on patients. The group’s homepage: https://www.skane.se/en/about-us/research/for
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics
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application of natural language processing (NLP) and other machine learning methods, including training and deploying large language models (LLMs) for extracting data from electronic health records (EHRs
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, animal, and environmental health. The Information and Communications Technology (ICT) division provides innovative and disciplined support and expertise as an integral part of ensuring USask becomes
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around the world to help them navigate complex legal and policy hurdles and transition, among other things, to big data and AI learning systems under a comparative, international ecosystem approach. Under
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following the specifications of the project’s analysis plans Extract and merge large data sets from different sources (administrative data, survey data, clinical data, etc.) according to data creation plans
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- Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications Experience in a large automated mailing service an asset
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, and inclusion Preferred Qualifications Experience in a large automated mailing service an asset. Ability to provide quality service to customers in a courteous, patient manner. Ability to communicate
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work collaboratively with Enterprise Data Governance (EDG), Business Analysts, Solution Architects, and the Integration Enablement Center (IEC) to implement large-scale Data Migration/Conversion
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requirements Demonstrated experience working with large and complex data sets, as well as experience analyzing volumes of data Demonstrated experience in creating data models and datasets Experience with Tableau