397 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Toronto
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Note: References check is an essential part of our recruitment process. We require three professional references from direct supervisors from the last three years, including the candidate’s most recent
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consultative advice on data requirements Determining optimal data collection methods and analyzing and writing program scripts to extract data Developing information management methods to optimize use of data
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computer science or supply chain procurement-related fields. · Experience in Oracle financial/supply chain applications and/or related business processes would be considered an asset
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Date Posted: 02/26/2026 Req ID: 47093 Faculty/Division: VP - Division of University Advancement Department: University Development Campus: St. George (Downtown Toronto) Position Number: 00052133 Existing Vacancy: Yes Description: About us: The Division of University Advancement (DUA) aims to...
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safety compliance Knowledge of Biosafety Level 2 procedures and safe chemical handling Proficiency with computing and data management tools (e.g., Microsoft Office, Google Workspace, or equivalent systems
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Faculty of Music is Canada's largest and most renowned university-based music program for professional musical training, creation, performance, education, and research. Home to a diverse and dynamic
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, skills and abilities required to be successful in this position include: • Completion of a degree in computer science or a related discipline; • Certification in Enterprise Architecture Frameworks
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. Application Deadline: Feb. 10, 2026 Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of: Nafiseh Yazdian, Administrative
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Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of: Nafiseh Yazdian, Administrative Coordinator Faculty of Information, 140 St
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and