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. Responsibilities As part of the Network Architecture Lab (NAL), the Research Associate will: Design and develop orchestration, analytics, and machine learning algorithms for heterogeneous resource management
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UBC’s IntelCut machine tool monitoring system to transfer research algorithms to industry. The engineering activities of IntelCut will be conducted by research engineers and graduate students. Providing
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination
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will be expected to independently carry out research projects including formulating problems, developing machine learning algorithms, identifying/compiling/working with carbon mineralization data from
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standardization; expanding the sources and types of data and linkages available; the development of technology infrastructure for data access requests and the documentation, storage, and re-use of algorithms and
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to support Alberta businesses on Applied Research & Development projects that deliver a new product, an improved service, or a more efficient process. Businesses across all major Alberta industry sectors
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to present complex data in an accessible and actionable manner. Develop and apply machine learning algorithms to analyze data and extract meaningful insights. Implement real time monitoring and processing
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. We are seeking to recruit one or two highly motivated and exceptional candidates with background in machine learning who will focus on developing and applying machine learning approaches to support
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of