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Application Development and Testing Course description : This course is designed to meet the rising need for skilled professionals capable of designing and developing software applications against cyber threats
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of generally accepted accounting principles, regulations and controls. Develop and implement financial, accounting, and audit strategies. Provide financial information and analysis, implement and monitor
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external vendors Prepare reports and other documents Perform various administrative and office support tasks Minimum Education and Experience: DEP - Business Administration 2 Years Related Experience / DEP
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of the University by mobilizing student, staff and faculty in engagement programs. Responsible for planning, developing and expanding existing engagement programs in sustainability (such as Sustainable Workplace
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development, performance analysis, and alignment with RSEQ/U SPORTS and McGill standards of excellence. Primary Duties: Assist in the planning and delivery of a comprehensive, high-performance training program
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) Scheduling rehearsal and training sessions Developing and maintaining detailed schedules for each assessment session Preparing and updating study documents Ensuring all parties receive the required
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems