2,534 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Canada
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of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
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learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a
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Qualifications Experience with hyperspectral data acquisition and analysis, including Python-based workflows. Familiarity with machine learning, data integration, and advanced visualization tools for exploration
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. Develop, design and build electronic and electrical circuitry for installation. Modify and install various machines or circuits in support of experiments and for new laboratory set-ups. Draw plans, sketches
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solutions such as RPA, workflow automation, predictive analytics, or machine learning. Systems & Technology Literacy - Understanding of ERP systems (SAP, Oracle, Workday, Microsoft Dynamics) and how
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on the Posting End Date. Job End Date Ongoing At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all
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and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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. Job End Date January 3, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
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on the Posting End Date. Job End Date March 15, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning