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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 creates the
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and machine learning decision support tools to detect physiologic state changes and identify opportunities for early intervention to change outcome. Our team is committed to advancing groundbreaking
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opportunity to collaborate and learn from experts researching, developing, and testing emerging technologies in marine energy and/or ocean-based industries. You will conduct research at both your academic
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. 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 students. Our
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. 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 students. Our
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, Computer Engineering, or related field Experience with robotics systems and programming (Python/C++) Familiarity with ROS/ROS2 Interest in human-robot interaction, sensing, and machine learning Desired
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machine learning-based model to map satellite retrievals to ground based air pollutant concentrations Conducting error assessment on the derived concentration data Implementing new observational data
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is supported to learn new techniques, take ownership of their projects, and build toward their next career step. We treat each other as colleagues regardless of title or seniority. We share protocols
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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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identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision