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an environment that inculcates learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning
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, intake and orientation-related activities for potential and current students • Willingness to learn and support the department as it relates to new tasks and/or responsibilities • Assist with scheduling
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, 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 necessary
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are conducting mathematical amd machine learning studies on complex dynamical phenomena and time series data. We are also interested in mathematical studies for creating novel computing technology and AI hardware
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demonstrated ability to learn new skills and work cooperatively on a team, and mechanical aptitude to diagnose and fix broken things. Job Duties (75%) Field sampling and travel. Technicians will document fish
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and optimal control including science informed machine learning, data-driven and mechanistic modeling - Mathematical game theory and mechanism design Education Requirements A Ph.D. in mathematics
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support
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awards of up to US $40,000 to support honorably discharged post-9/11 military veterans, from America and Australia, to pursue undergraduate and graduate-level study in each other's countries respectively
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skills to interact effectively with faculty, academics, students, military, and civilian personnel of a variety of backgrounds. Ability to develop and maintain strategic relationships and partnerships with
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to support a diverse and inclusive university in which to work, study, teach, research and serve. No person shall be denied employment on the basis of any legally protected status or subjected to prohibited