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within the Division of Artificial Medical Intelligence of Department of Ophthalmology in the University of Colorado School of Medicine. We focus broadly on quantitative and machine learning techniques in
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arrangements to help manage your work-life balance, ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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background in geomodelling, geophysical and geotechnical investigation, geomechanical engineering, and machine learning. You will be expected to work effectively on a geophysical/geomechanical project, to
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engagement, policy advisory activities). There are no teaching obligations for this position, but it will be possible to teach at one of GIGA’s partner universities. Mandatory qualifications: A very good
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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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learning, and computational modelling. The doctoral candidate will investigate how pressure differences can be calculated directly from magnetic resonance imaging (MRI) and ultrasound data, reducing the need
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to the lab's ongoing research projects, while also develop their own scientific niche. An ideal candidate will bring new expertise and experience to the lab, while showing interest in learning new skills
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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shipping management efficiency. Propose solutions to Maritime industry practical challenges using mathematical modelling approaches, including traditional operations research modelling, learning-based models