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pediatric sleep clinics and multidisciplinary clinics, including: - Complex Sleep–Disordered Breathing Clinic; - Technology-Dependent / Ventilation Clinics; - Joint clinics with ENT, Complex Care Pediatrics
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with technology and troubleshooting tech-related problems. Experience with elderly, mobility-reduced, and other vulnerable patient populations an asset. Flexibility to work in different disease areas
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, leave replacement position in the Department of Chemical Engineering. Position Summary: Under the direction of the immediate supervisor, provides administrative and secretarial support. Participates in
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/adolescent literacies, Critical technology and media studies in education, Early childhood education/reading instruction; elementary, secondary, vocational, and/or higher education teaching experience in
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Technology 2 Years Related Experience / Hourly Salary: (MUNACA Level F) $29.42 - $36.46 Hours per Week: 24 (Part time) Supervisor: General-Manager Campus Farm Position End Date (If applicable): Deadline
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able to contribute actively to a team. Excellent presentation and communication skills. Demonstrated ability to work in a Microsoft environment using Word, PowerPoint, internet search engines and email
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publications. Qualifying Skills: Strong academic background in ecology, environmental science, geography, engineering, or a related field (Master’s degree completed or equivalent). Proficiency in at least one of
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the implementation of new initiatives that support the strategic direction of the unit by keeping abreast of new developments, technology, and trends in the field of admissions and recruitment. Acts as the subject
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performed by an employee whose position has been matched to this generic job description. Other Qualifying Skills and/or Abilities: College diploma (DEC) in a relevant field such as laboratory technology
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or Software Engineering. ML & NLP: Preferably those with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine Learning), COMP 345 (From Natural Language to Data