325 machining-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of British Columbia in canada
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communication, interpersonal, organizational, problem solving and computer skills. • The position is physically demanding and involves heavy lifting (up to 20 kg). The successful candidate would need to be
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Performed Takes customer food orders at counter or at tables; prepares and calculates bills for payment. Enters customer orders in computer or cash register and accepts payment via cash, meal plan card
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to communicate clearly and work as part of a team Basic computer skills for data entry and file management
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, implements, documents, maintains, and supports computer application for existing complex or campus wide computer systems. The incumbent will work collaboratively with other Automation team members. Working
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the neurophysiological lab and at the MRI research facility. For example, this sometimes includes showing movies and task-based stimuli to the participant via a computer using specific software programs, attaching
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resources and services is an asset. Experience and knowledge working with basic accounting practices in an accounts receivable environment. Intermediate computer proficiency required - Word, Excel, Outlook
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or advanced computer skills in the following software packages: MS Office (particularly Excel, Word, PowerPoint), REDCap or other relevant and recognized data management software. Experience with NVivo is
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diplomatic. Able to persuade others of the value of collaboration and participation. Ability to work independently as well as within a team environment. Intermediate computer skills with Microsoft Office Suite
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and interior trim; laying floors and building concrete forms; assembling prefabricated wooded sections; operating general hand tools; performing layout duties including machining and assembling
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multivariate, statistical-genetic or machine-learning approaches. · Research involving developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High