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of expertise. QUALIFICATIONS BSc or MSc in a Data Science. Minimum 3 years of related experience or the equivalent combination of education and experience. Expertise in large biological databases, specifically
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of the financial information workflow, enhances management of financial resources and ensures integrity of financial transactions in a large, complex department. Compiles financial transaction documents and delivers
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 12 days ago
science, statistical analysis, data visualization, and machine learning. Assets Proficiency in SQL queries to retrieve, join, filter, and manipulate data from relational databases. Experience using large
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Applications are invited from qualified individuals for a full-time tenure track faculty position in Large Animal Internal Medicine in the Department of Large Animal Clinical Sciences, and who have
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analyze large volumes of complex information. Experience in managing caseloads and meeting deadlines in a high-volume service environment. Ability to quickly learn new technologies and systems. Proficiency
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focused approach to AP processing, preparing ad hoc reports, and resolving data integrity issues. Organizational Status Reports directly to the Senior Financial Manager. Works closely with other
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also work with the Division of University Advancement to encourage alumni to stay engaged with the University of Toronto community at large. The Senior Alumni Engagement Officer will need to be
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on promoting advances in person-centered care. The successful candidate will be part of a large, academically successful rheumatology unit with a clinical role aligned with divisional and departmental priorities
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motivated Neuroscience postdoctoral fellow. In addition to neuroscience research experience, having familiar with machine learning/AI/ big data processing will be an asset. A major part of this PDF
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collaboration with CIDER faculty members on research projects in applied microeconomics involving large and complex data sets. The successful candidate will be involved in all aspects of research, from new