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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
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and patient record systems required. Demonstrated knowledge and experience with Pediatric oncology an asset. Medium to high degree of computer literacy including familiarity with Microsoft Word, Access
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welding, machine elements, and computer controlled manufacturing processes. Experience supervising staff, preferably in a unionized environment. Knowledge of MS Office Suite (Word, Excel, PowerPoint), Adobe
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Excellent computer skills (e.g. Access, Word, Excel, Power Point, Outlook) Superb interpersonal and communication skills for supervising the day-to-day work of staff, collaborating with faculty, fostering
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Board submissions. Strong computer skills (Microsoft Office), database management (RedCap), qualitative data management packages (e.g. NVivo), data analysis software (e.g. SPSS, SAS). Proficiency with
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communication, interpersonal, customer service, problem solving and supervisory skills. Exemplary level of attention to detail and outstanding organizational skills. Advanced computer skills including operation
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communication skills Basic computer skills including Microsoft Word, PowerPoint and Excel ITLS certification or interest to pursue considered an asset Qualifications: Strong interpersonal and organizational
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. Skills: Knowledge of community engaged learning and the value of community and university partnerships. Excellent communication skills, both verbal and written. Strong computer skills, including Microsoft
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the BC FoodWeb, a multi-institutional knowledge mobilization portal designed to increase access to food systems research results and other resources for food producers, processors, policymakers, educators
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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