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https://engineering.ok.ubc.ca/ | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
to the development, growth, and leadership of the Computer Engineering Program in the School of Engineering. The program integrates foundational and applied courses in engineering, with hands-on learning and immersive
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magnetic fields, as well as in pushing the envelope of data analysis through techniques such as machine learning. The successful candidate will have an established international reputation and will be
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to positive work and learning environments. Typical Duties: Administrative support –provide effective administrative support to the Academic Advisor for final exams and final grades, as required by
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technologies that strengthen infrastructure and improve quality of life • Supercomputing, AI, machine learning, robotics, and human–machine interaction while examining ethics, equity, and privacy in emerging
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Associate Professor, Tenured Canada Impact+ Research Chair, Human Mobility and Wearable Technologies
diverse Faculties, Brock excels at providing exceptional experiential learning opportunities and highly rated student and campus life experiences. Our Geography Brock University’s main campus is situated
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, Computer Science, Computer Information Systems, Data Science, Environmental Science, Geology, and General Science which allow students to prepare for a variety of exciting careers in science and technology
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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 faculty, staff and
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of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural
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Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning Quantum cloud
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image