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for solving engineering and business problems. Data science or analytics is the process of deriving insights from data in order to make optimal decisions. It allows hundreds of companies and governments to save
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, troubleshoot, and optimize the systems to align with institutional needs and ensure compliance with reporting requirements. You will draw upon your technical knowledge, including proficiency with SQL for data
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: Mechanical Engineering Course Title and Course Number: Numerical Optimization - MECH 579 Estimated Number of Positions: 1 Total Hours of Work per Term: 100 Position Summary: Marking of assignments and midterm
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Improvement (QI) Intern will support process optimization, documentation, and system-building efforts within the Clinical Partnerships Office (CPO). Working closely with the Academic Associate and team members
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operational plans to optimize research funding opportunities. In coordination with the Office of the Vice-President Research team, liaise with funding agencies to gain expert knowledge and to develop strong
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optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible
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perform their responsibilities within the system while also optimizing business processes to enhance efficiency. This role ensures that StarRez system operations align with institutional goals, enhance
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and mechanisms for data governance struggle to meet these challenges, as there are no simple solutions. The fundamental theme of this course is how the health care system can optimize and leverage
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bodies. The incumbent also ensures operational processes are continually optimized. Essential Qualifications: Education: Master's degree in Business Administration or related professional designation
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 23 hours ago
of scientific machine learning with PDEs, optimal transport or optimization. Our Scientific Computing, Machine Learning and PDE research group (SciMAP https://www.sfu.ca/math/research/scimap.html ) has