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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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Education: B.Sc. in chemistry required. Experience working with numerical algorithms. Familiarity with air-borne particles. Materials characterization experience (e.g. Raman spectroscopy, mechanical testing
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Number, Section, and Name: CMPT 280.3, 02 Intermediate Data Structures and Algorithms Term and Course Dates: Summer (July 2 – August 15, 2025) CRN: 60379 Delivery Mode: This course is currently scheduled
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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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• Develops analysis plans and conducts analysis of linked datasets using various statistical techniques • Development of new algorithms, statistical techniques, and visualization approaches for the analysis
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related field (e.g., computer science). Experience: Experience with different AI/ML algorithms. Strong preference for experience with NLP methods, including transformer-based and large language models
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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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users in Saskatchewan. Collaborate with HRDP-SK and HDRN colleagues to advance improvements to data dictionaries, concept dictionaries and phenotype libraries. Supports the use of the HDRN Algorithms and
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algorithms and with reporting tools. Able to produce a variety of communications demonstrating command of language, clarity of thought, and orderly and appropriate presentation suitable to target audiences
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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