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staff. Advanced computer skills in Microsoft Windows and Office applications including current versions of Word, Excel, PowerPoint Outlook and Adobe applications. Collaborative tools such as MS Teams and
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environment. Adaptability and a proactive approach to learning new skills and techniques related to Statistical Machine Learning. Education: PhD degree in Mechanical Engineering, Structural Mechanics, Computer
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and damage to neurons, and the major cause of permanent disability in multiple sclerosis (MS) and other neurological diseases. Using the latest in computer modeling, molecular and imaging technology, we
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organizational, administrative and computer skills an asset. A proven record of integrity, high principles, and demonstrated skill in developing / motivating student-athletes both academically and athletically. A
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to approach interactions with an awareness of sensitive issues. (e.g., issues concerning specific cultures). Ability to exercise tact and discretion. Ability to diagnose a variety of computer software problems
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with image analysis and data collection. The Research Assistant will work in a shared wet lab bench space with use of computer, printer, scanner, etc. The majority of work will be performed in a large
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from the old to new machines and re-imaging of old hardware. Minor hardware support which may include troubleshooting and replacement of computer hardware. Support the delivery of specialty IT systems
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from the old to new machines and re-imaging of old hardware. Minor hardware support which may include troubleshooting and replacement of computer hardware. Support the delivery of specialty IT systems
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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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using clear, concise business English. Must have strong computer skills, and a high degree of accuracy and precision in MS Office programs including Word, Excel, PowerPoint and Outlook. Strong ability