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https://engineering.ok.ubc.ca/ | Northern British Columbia Fort Nelson, British Columbia | Canada | 12 days ago
integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following link: https
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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Sciences, the successful candidate will be expected to develop and lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods, including
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, community outreach, and spaces for study and social interaction, New College fosters a rich learning environment in which students can broaden their perspectives, build connections across fields, and prepare
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integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following links: https
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 7 hours agoprovided by the Engineering Teaching and Learning Team, the Queen’s Centre for Teaching and Learning, the Department, and Smith Engineering. The Department of Electrical and Computer Engineering has 36 full
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. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health informatics would be
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expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor
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courses. The department’s greatest current needs are in operating systems and computer architecture, and applicants with expertise in these areas will be given preference. We also welcome applicants with
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and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines