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, and labor shortages. Currently, most animal monitoring and inspections are performed visually by humans, which is time-consuming and error-prone. Computer vision, leveraging recent advances in deep
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include: Machine learning for SDL Development Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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of education and experience.Experience and training in design, installation or operation of large computer based building automation systems used to control and monitor heating, ventilating, air conditioning and
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research environment Ability to operate related equipment such as photocopiers, and multi-media equipment WORKING CONDITIONS Sitting at desk and computer for long periods of time General office conditions
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, students and clinical fellows, statistical and computer consultants and clerical staff. Work Performed Assists in the preparation and submission of ethics applications Monitor funded research project budgets
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that attracting 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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to the role (including OpenSpecimen database and Genemapper software) and capable of quickly learning and utilizing additional computer programs as needed
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be accepted until 11:59 PM on the Posting End Date. Job End Date October 31, 2026 This offer is conditional upon successful completion of a Criminal Record Check. At UBC, we believe that attracting and
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supportive learning environment. The role will also assist the SAGE Director and Senion Administrative Coordinator with the distribution, monitoring, and collection of program documentation. Nature of Work