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software and languages, such as SAS/R/Stata, to explore data validity, develop research variables/algorithms/flags, create analytic cohorts for each study, create sub-cohorts for trainee-led analyses, and
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the following fields: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including
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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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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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• 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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, 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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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