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) at the Dorothy H. Hoover Library and Library Learning Zone service desks for extended periods of time as scheduled based on service needs E-Reserves & Interlibrary Loan Support In collaboration with other library
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: Student Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Hourly - Educational Programming, Level A Job Title Course Coordinator - Data Science/Extended Learning Department Career and Professional
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relevant to diverse datasets. Experience with genomics, multiomics, big data and machine learning an asset. Is willing to learn new techniques and novel analysis methods for application. Skills in R required
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micro-processor based plant-floor devices together into a Supervisory, Control and Data Acquisition system. Will deliver Module A Computer in Industry of WTTP 2820 QUALIFICATIONS The successful candidate
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sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve
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automation sectors. We provide applied learning in action through our trades and technology programs. The Opportunity At the Southern Alberta Institute of Technology (SAIT), we are the shapers. The makers
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health first aid, suicide prevention certification or related mental health training Preferred Certification in Office administration, bookkeeping, proficient in computer graphics software (Canva, etc
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repositories programmed in Python, Pytorch, LangChain using git repo. Develop clean, readable, and maintainable public code using object-oriented programming principles in Java and Python. Apply machine learning
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | 20 days ago
discretizations and/or machine learning methods. The ideal candidate should have a strong background in numerical analysis, scientific computing, and/or scientific machine learning. We are particularly interested