578 processor-"https:"-"https:"-"https:"-"Institute-of-Computer-Science" positions in Canada
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ability to use a wide variety of computer applications, have knowledge and skills related to an office environment, administrative procedures and protocols, including the ability to interact with colleagues
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computer skills including Microsoft Word and Excel Strong interpersonal and collaborative skills Excellent classroom management and instructional skills A high level of independence is required. Location
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establishing written lab protocols. Experience keeping a detailed and up to date lab notebook. Strong computer literacy including familiarity with word processing, spreadsheets, and Internet resource use
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enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications Strong computer skills including Word, Excel and electronic communications. Effective
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tools and other resources, check out Career tools and resources *If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.
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combination of knowledge and experience. Experience working with Government computer-based programs such as ESP and MIDAS would be considered a definite asset. Applicants are asked to clearly describe in
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of Applied Science & Engineering Department: Department of Electrical & Computer Engineering Campus: St. George (Downtown Toronto) Position Number: 00030137 About us: The Edward S. Rogers Sr. Department of Electrical
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approachable and flexible, self-motivated to complete tasks, adaptable to changing work situations, and must work well in an inclusive and diverse environment. Possess basic computer skills in order to manage
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levels of senior administration, government agencies and university personnel. Ability to cultivate constructive media relationships and partnerships. Solid computer experience and familiarity with
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data visualization. The candidate should have experience with programming and data manipulation in Python. Experience programming and training convolutional neural networks for computer vision