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-Familiarity using search engines such as PubMed, Medline, Ovid -Demonstrated computer literacy (MS Word, Power Point, Excel, and PowerPoint,) including EndNote -Superior organizational, multi-tasking, and
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an asset. -High degree of computer literacy including familiarity with word processing, spreadsheets, and Internet resource use. -Knowledge of Cerner/Powerchart and RealTime CTMS an asset. -Ability
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and their interpretation an asset. -Experience with clinical trials an asset. -High degree of computer literacy including familiarity with word processing, spreadsheets, and Internet resource use
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, diversity, and inclusion Preferred Qualifications -Experience with chart review/medical charts and their interpretation an asset. -Experience with clinical trials an asset. -High degree of computer literacy
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deadlines. Ability to work independently under the supervision of senior scientists. Computer proficiency, including use of Word, PubMed, and Linux. Well-organized and attention to detail in data collection
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information. High degree of proficiency in computer applications such as Microsoft Word, Excel, and Powerpoint; and web-based applications or tools.
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research group (https://www.impellizzerilab.com/ (external link) ) in the Department of Chemistry and Biology (https://www.torontomu.ca/chemistry-biology/ ) within the Faculty of Science at Toronto
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Department: Electrical, Computer and Biomedical Engineering Position supervisor: Dr. April Khademi Contract length: 1 year (with possibility of extension) Hours of work per week: 36.5 About Toronto